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Acquire.com

Generate Your First Professional Acquire.com  PROJECT & Get Your BUSINESS 2 Another Level. 


How Acquire.com Works (Formerly MicroAcquire) – Buy & Sell Startups


How Acquire.com Works (Formerly MicroAcquire) – Buy & Sell Startups


TRANSCRIPT 

PART 1 


0:00

foreign

0:02

how's it going my name is Andrew gosdeki

0:05

I am the CEO and founder of microquirer

0:07

and in this quick tutorial I'm going to

0:09

be going over how the buyer experience

0:11

works as well as these seller experience

0:13

works on my required and our goal with

0:15

micro acquire is to really make startup

0:18

Acquisitions easier for Everyone by

0:20

building tools that help you transact

0:22

easier than ever and by way of

0:25

background since our launch in 2020

0:27

we've had hundreds of thousands of

0:28

buyers registered we've helped hundreds

0:31

of startups get Acquired and we've

0:33

helped facilitate over half a billion in

0:35

startup Acquisitions so let's get

0:37

started the first thing you're going to

0:39

want to do is Click join now and

0:41

register as a buyer or seller so in this

0:44

example I'm going to show the buyer view

0:46

first so I've created my buyer account

Buyer - filtering listings

0:49

on microquar and from here I'm able to

0:51

view SAS startups mobile startups

0:54

Shopify app startups agencies

0:56

marketplaces e-commerce startups crypto

0:58

startups and more we have thousands of

1:01

listings for you to view and you can

1:02

also also filter by location gross

1:05

revenue net profit and your current

1:07

Revenue growth rate Revenue multiple age

1:10

of startups number of customers and so

1:12

much more

Buyer - profile and verification

1:13

now as a buyer one thing you're going to

1:16

want to do is fill out your profile to

1:18

give sellers that you reach out to

1:19

confidence in Who You Are so you'll want

1:22

to have a brief description

1:24

you want to add in your acquisition

1:26

experience as well as your acquisition

1:28

criteria we also require that all buyers

1:31

verify themselves with Persona to again

1:34

give sellers confidence because trust

1:37

and security is at the core of

1:38

microquirer I should also note that all

Buyer - requesting more info from listings

1:41

listings on microcore are reviewed by

1:43

our vetting team so you can rest assured

1:45

that every startup on microwire has been

1:48

viewed by our team and is a good

1:50

potential acquisition opportunity

1:52

now if you'd like to reach out to a

1:55

potential startup it's pretty easy

1:56

contenting a startup on microquirer is a

1:59

breeze the first thing you're going to

2:01

want to do is send a message to the

2:03

seller introducing yourself giving a

2:05

little background about yourself and why

2:07

you're interested in this startup this

2:09

is also a great opportunity to ask a

2:11

question that you may have about the

2:13

startup now please note everything on

2:15

the left hand side is public information

2:17

but does not give actual details of what

2:20

the startup is it is up to the seller to

2:22

approve your message so it's really

2:24

important to have a good first

2:25

impression so sellers feel confident

2:27

giving you access to their private

2:29

details now moving over to the startup

Buyer - managing your deals

2:32

set of contacted we have built tools for

2:35

you to view all the startups that you

2:38

have reached out to and if you want to

2:40

make an offer on a startup you go to

2:42

your guided acquisition process we have

Buyer - LOI builder

2:45

tooling that allows you to build items

2:48

such as a letter of intent so in this

2:50

example I'm going to quickly walk

2:52

through sending a letter of intent fifty

2:54

thousand dollars for the startup we also

2:56

have certain terms that might be

2:58

important to you such as retaining

3:00

certain employees non-compete requiring

3:03

a confidentiality Clause who splits

3:05

escrow

3:06

and much more you can also download your

3:08

Loi to review before sending when you're

3:11

ready you simply sign the LOI and this

3:14

will be sent to the seller for them to

3:16

the review

3:17

and potentially accept the LOI and then

3:20

you proceed with due diligence to

3:22

potentially acquire the startup now I'm

3:24

going to move over to the seller view to

3:27

show you how it works on that end when

3:28

you're looking to sell a business now if

Seller - filling out your listing details

3:31

you've registered as a seller setting up

3:33

your profile is a breeze and we help you

3:35

every step along the way so you can

3:37

enter in brief information and brief

3:39

details and we'll be sure to clean up

3:42

the profile to attract as many buyers to

3:44

your startup as possible now again

3:46

important to note that the left hand

3:48

side is public and the right hand side

3:50

is private so you can toggle on and off

3:52

if you'd like to Auto approve buyers so

3:54

they can view the name of your startup

3:56

in any documents which you've uploaded

3:58

or you can manually approve buyers by

4:00

having this toggle all also we enable

4:03

you to share real-time Financial metrics

4:07

of your business to show the health of

4:09

your business in real time this takes

4:11

about a minute and gives you a 36 month

4:13

p l to share with Buyers which really

4:15

increases their confidence evidence and


PART 2 


4:18

potentially pursuing your startup as an

4:21

acquisition opportunity you can also

4:22

connect Revenue metrics such as annual

4:25

recurring Revenue monthly recurring

4:26

Revenue customers and again this is

4:29

important to note this is all anonymized

4:31

and private so there's no way to tie

4:33

this back to your startup name unless

4:36

you have granted access to the buyer we

4:39

also are integrated with Google

4:40

analytics giving buyers a level of

4:43

detail into the health of your business

4:45

never before seen making startups get

4:49

acquired faster and easier than ever

Seller - managing buyers and the acquisition process

4:51

before now as you go through the guided

4:53

acquisition process this is where you're

4:55

going to see all your buyers so as they

4:57

reach out they're going to appear in

4:59

this area here

5:00

we help you every step away where you

5:03

can view videos you can view an NDA we

5:06

have an example data room

5:08

and then when you start receiving letter

5:11

of intents this is where they're going

5:13

to appear

5:13

and you can accept or decline them based

5:16

on your asking price and then you're

5:18

going to move into due diligence and if

5:20

you aren't familiar with due diligence

5:22

being it may be your first time selling

5:24

your startup we have a lot of different

5:26

articles for you to check out on a

5:28

resources section so I highly recommend

5:30

those as well as video tutorials

5:32

now once you've accepted an asset

5:34

purchase agreement an escrow payment

5:37

will immediately be created

5:39

automatically allowing you to securely

5:41

and safely transfer your startup over to

5:44

the buyer using azure.com

5:46

and this is a workflow that we've been

5:48

building to really simplify and

5:50

standardize selling your startup without

5:53

all the typical headaches you see in the

5:54

market today and once all this is

5:56

completed you've been successfully micro

5:58

acquired now some other items I wanted

Seller - free resources

6:01

to point out is as a seller we have a

6:05

example data room we have tons of

6:07

different resources if you're not sure

6:09

how to price your startup we have a

6:12

multiples report that I highly recommend

6:14

checking out on what your startup is

6:16

worth how should you price it to really

6:18

increase the odds of it being Acquired

Acquire.com Alerts Slack app

6:20

and then as a buyer if you're looking

6:22

for instant alerts as startups go live

6:25

on micro bar we have a slack application

6:27

which you can download from your buyer

6:29

profile and receive instant

6:31

notifications based on your search

6:32

criteria as soon as startups go live we

Buyer and seller post-acquisition interviews

6:35

also have a podcast that helps educate

6:37

both buyers and sellers on the process

6:39

of selling your business these are

6:40

podcasts from buyers that have

6:42

successfully acquired startups or even

6:44

sellers that have successfully been

6:46

microphone wired on our platform so

6:48

definitely check these out and we have

Acquisition resources

6:50

numerous other resources in terms of

6:52

exit planning valuations due diligence

6:55

negotiations and for buyers financing

6:58

getting started opportunities and much

7:00

much more and also even a SAS valuation

SaaS valuation calculator (MicroMRR)

7:03

calculator which is completely free it

7:06

gives you detailed analytics as well as

7:07

evaluation based on real data from a

7:10

Marketplace to give you insights into

7:12

how to properly value your startup now

7:15

in this example this is a startup that

Full acquisition process walk-through

7:18

was successfully micro acquired

7:20

and as you can see I can see all the

7:23

buyers have reached out

7:25

included here

7:27

I can see all of the letter of intents

7:30

that were received here which I accepted

7:32

one I accepted one asset purchase

7:35

agreement

7:36

we went through escrow

7:38

escrow was completed and then I was

7:40

successfully micro acquired now if

7:42

you're a founder and you're looking for

Seller - M&A Advisor Directory

7:44

help selling your business we also have

7:46

a marketplace where you can hire M A

7:48

advisors business brokers investment

7:51

bankers

7:52

other individuals to help with

7:54

accounting and much much more so

7:56

definitely check this out if you need

7:57

additional help in terms of selling your

8:00

startup and maximizing your exit now

Managed-by-Acquire Advisory Services

8:02

moving over to two more items in terms

8:04

of other services that we provide at

8:07

micro core if you're a SAS startup with

8:09

over a million in Revenue we have a

8:11

managed by micro acquire program where

8:13

we will be an active broker and help you

8:16

every single step of the way

8:19

getting acquired for marketing betting

8:21

inquiries essentially taking care of

8:23

every part of your acquisition process

8:26

so you can focus on growing your

8:28

business and we take care of the rest

8:29

this is a paid service that is only

8:32

available to sell startups generating

8:34

over a million in Revenue if you're

8:36

below a million in Revenue the

8:38

marketplace is the place that you want

8:39

to list your startup and for buyers in

Buyer - Pro Plans (Premium and Platinum)

8:42

terms of pricing we have two plans one

8:45

is for acquirers looking to acquire

8:47

startups with less than a quarter

8:49

million in Revenue which is 390 a year

8:51

and gives you access to thousands of

8:53

different startups to look at you can

8:55

compare the different plans and the

8:57

other plan is platinum which is for

8:59

serial acquires private Equity firms

9:02

family offices and essentially acquires

9:05

looking for a multi-million dollar

9:06

Acquisitions which gives you access to

9:08

our managed by microquirer startups

9:11

which we are brokering priority customer

9:12

support startup recommendations based on

9:15

your search criteria and much more and

Getting help and support

9:17

if you have any additional questions

9:19

regarding microbar how this works how we

9:21

can help or just how we can help your

9:24

startup get acquired please feel free to

9:25

reach out to us anytime at support

9:27

microquar.com and we'd be happy to help

9:30

you


Acquire.com Review 2023



Startup Acquisition Stories with Colin Dougherty, Director of Marketing at Zenlytic



I Sold My Online Business on Acquire.com



Buy A Profitable Website For $114? Crazy Flippa Profit Hack :)



Taking Your Existing Business With Acquire.com

I sold my OpenAI GPT Website for $30,000


I sold my OpenAI GPT Website for $30,000



TRANSCRIPT 

PART 1 

0:00

i sold my business enhance ai not only

0:03

that i made over 30 000 in just 30 days

0:07

doing so so in this video i'm gonna

0:09

share the behind the scenes details of

0:11

exactly how i got to this point i

0:13

learned some pretty valuable lessons

0:15

along the way i'm gonna structure this

0:16

video in several parts the first part

0:18

will be having a look at exactly how i

0:20

built the actual product itself how i

0:23

spend just a month doing so and why i

0:25

move so fast in the second part we'll

0:27

have a look at how i started making

0:28

sales getting an actual audience for

0:30

this and paying subscribers and then in

0:32

the final part we'll have a look at why

0:34

i took it to market how i sold it what i

0:37

did for negotiating it and what that

0:39

looked like after i made the sale as

0:40

well let's get started in this last year

0:43

i wanted to do something insane a

0:45

monumental task to build up an entire

0:47

business in just a month this was

0:49

something that i've always wanted to do

0:51

i've created lots of businesses and

0:53

sasses and some have taken me years some

0:56

have taken me months but the end result

0:58

was always a failure which is

0:59

unfortunate but i think this is one of

1:01

the important things to do is to move

1:03

fast and change fast so in this case i

1:06

wanted to see if i could do the whole

1:07

thing in 30 days my goal was to build up

1:10

something using ai i had just heard

1:12

about elon musk and openai something

1:15

that he found it and it was an

1:16

autocomplete text generator i wanted to

1:19

see if i could use this for coding and

1:21

this is where enhanced ai came about the

1:23

first step was to see if it was actually

1:26

possible to do what i wanted and the

1:27

second step was to see if there were

1:29

some competitors in the space that were

1:31

already doing this and i was lucky on

1:33

both fronts in terms of the coding space

1:36

creating maybe a short code inside of

1:38

wordpress using ai was something that

1:39

was never possible before or even just

1:42

understanding regex these were two

1:44

things that i really wanted to be able

1:45

to do with the ai tool that i wanted to

1:47

create the second part was having a look

1:50

if they could be done in open ai and

1:52

when i tried them out they actually kind

1:54

of worked i had to tweak them a little

1:55

bit but i got them to work which means

1:57

that there was merit in my idea it was

1:59

now time to build it being a full stack

2:02

developer meant that i could create this

2:04

entire thing myself and it's one of the

2:06

benefits that a lot of coders don't

2:08

realize i think that it's one of the

2:10

skills i'm most proud to have these days

2:12

so what i decided to do was jump in

2:14

create the front end on react the back

2:16

end on node.js integrate the payment

2:19

system on strive as well as a database

2:21

on mongodb put the whole thing together

2:23

to talk to openai and its api layer and

2:27

then i had a working product amazing but

2:29

it wasn't that easy i did spend hours

2:31

upon hours daily over those 30 days to

2:34

be able to achieve this and this i found

2:36

out was actually the easy part and the

2:38

fun part of the whole process the hard

2:40

part is this next phase customer

2:42

acquisition this means that i needed to

2:44

have other people see what i saw in this

2:47

product and this wouldn't be easy

2:49

there's normally a lot of things that

2:50

people do around marketing and

2:52

advertising to be able to get a product

2:54

out there but i didn't want to spend too

2:56

much money on this i wanted it to be

2:58

very organic so what i decided to do was

3:00

a youtube video where i showcased the

3:03

whole process of me building it which

3:05

you can check out up here somewhere but

3:07

what ended up happening was that video

3:09

took off and a lot of people got to see

3:11

the product how i built it and how it

3:13

worked and it resonated with them so i

3:15

got thousands of sign ups immediately

3:18

just as a consequence of creating that

3:20

one video now that i had a business a

3:22

sas with thousands of customers signed

3:25

up to the free trial i wanted to convert

3:27

them to active customers so i continued

3:29

to focus on my features i built out my

3:31

best feature yet it was a blogging

3:33

feature that allowed people to owe to

3:35

predict their blog content as they write

3:37

it sort of like in gmail auto predict

3:39

but entire sentences and paragraphs this

3:42

was the most successful feature so far i

3:44

was using it myself on a daily basis and

3:46

i got lots of great feedback on it this

3:48

helped me basically convert a lot of

3:50

customers to using the product and

3:52

started it to make it a success the only

3:55

problem was that not a lot of developers

3:58

i found out vlog that often and maybe i

4:00

was actually focusing on the wrong

4:02

audience and this is the next hurdle

4:04

that i came across i felt like i was

4:05

investing more and more time into this

4:08

blogging aspect of enhance ai but i

4:10

wasn't getting additional sign-ups to

4:12

really justify all the time i was

4:14

committing i decided to give my friend


PART 2 

4:16

simon a call to find out what he had to

4:18

say on this well enhanced ai works

4:21

really well as a writing assistant maybe

4:23

bloggers are just a better fit why don't

4:25

you sell it use marketplaces like

4:27

microacquire and sell it to a blogging

4:29

company

4:30

selling it was something i had not

4:32

considered before originally when i

4:34

built it i was so excited i thought it'd

4:35

be a side hustle with passive income but

4:38

as i kept putting more and more effort

4:40

into it and getting no results it felt

4:42

demoralizing so i decided to give

4:44

microacquire a test microacquire is a

4:47

site that allows you to publish any

4:49

business luckily i had built this

4:51

business properly from the ground up it

4:53

included a proper australian

4:54

registration with a business with a

4:56

proper trading name a proper domain and

4:58

lots more and as part of this process i

5:01

had to also kind of evaluate what the

5:04

net worth of my business was this was a

5:06

very difficult task but i originally

5:09

came up with a figure of thirty thousand

5:11

my original thinking was that i put

5:13

about a month into this so far which

5:16

meant about 30 days working at about

5:18

seven and a half hours per day at a

5:20

price of about 150 an hour that comes to

5:23

about 30 000

5:24

on top of that i felt like if i

5:26

continued to put effort into this

5:28

business i could get enough customers

5:30

signed up to make at least 30 000 per

5:32

year it felt like a solid number to me

5:35

so that's what i listed it as now as a

5:37

quick side note if you're thinking of

5:38

building your own sas product there's a

5:40

good place to start api layer is an

5:42

entire marketplace with pre-built

5:44

components and apis and features and is

5:46

the sponsor of today's video one thing

5:48

that i've realized is nothing is ever

5:50

built from the ground up and even i was

5:52

inspired and use openai's platform to do

5:54

my own sas so researching and

5:56

understanding apis is always the first

5:58

step api layer has apis that can scrape

6:01

websites allowing you to create custom

6:02

data sets or vision apis that would

6:04

allow you to detect objects inside of

6:06

images label them and even edit them

6:08

there is even one api that allows you to

6:10

do code detection taking in code

6:12

detecting it and labeling and then

6:13

formatting it as well and of course i've

6:15

got a coupon code which is adrian t20

6:17

giving you a 20 discount for any three

6:19

consecutive months of use if you're

6:21

interested check out apillar.com which

6:23

i've added in the description below now

6:25

let's get back to how selling my sass is

6:27

going and this is the surprising part

6:29

where simon was right i got lots and

6:31

lots of interest i almost had daily

6:34

messages about people seeking to test

6:36

down my product to see if it was worth

6:37

buying i went through a lot of

6:39

conversations some of them went to the

6:42

final step where people were almost

6:44

ready to give me an offer some of them

6:46

didn't go anywhere at all but eventually

6:48

i got a bid a bid that was really

6:51

interested in my product they were

6:53

already a blogging company and they

6:55

could see how this tool could really

6:57

help them improve what they're already

6:59

doing and i showcase their product to

7:01

them and i did some video calls with

7:04

them and they were just astounded they

7:06

were so impressed that they were going

7:07

to give me an offer on the table but we

7:09

needed to go through some negotiations

7:11

so i mentioned that i wanted to sell

7:12

this business for 30 000 it had already

7:15

made about five thousand dollars for me

7:17

month by month it was making about a

7:19

thousand dollars but those figures were

7:20

going down because not many developers

7:22

were focused in on the blogging tools

7:24

this was one of the reasons i was

7:26

selling it but unfortunately this also

7:28

made my offer a little bit unappealing

7:30

they negotiated me down to 20 000 as a

7:33

sales price at this stage i didn't

7:35

really want to go through additional

7:36

offers i had already been doing this for

7:38

about a month and while i could probably

7:41

get a better price if i had been more

7:43

patient and more resilient one of the

7:45

things i did was just cave in and accept

7:47

the price so i sold it but there's more

7:50

to this story there's also terms and

7:52

conditions it meant that i'm not able to

7:54

build the exact same product in the

7:56

exact same space in the future and this

7:58

makes sense you don't want someone to

8:00

immediately sell a business and sell the

8:02

same one to a competitor so i think

8:03

that's fair on top of that i mentioned

8:06

that i was able to make thirty thousand

8:07

dollars from this product and we're not

8:09

quite there yet i made twenty thousand

8:11

dollars for the sale of the product and

8:12

five thousand dollars in sales for the

8:14

customers there's still five thousand

8:16

missing and this is where i made some

8:18

money for both adsense on publishing the

8:20

video as well as a sponsor which was

8:22

mongodb at the time as part of doing

8:24

that video and that brought up the total

8:26

to thirty thousand dollars so for a

8:28

month's worth of work i think that's a

8:30

solid amount i'm quite proud of it as

8:32

well


238,596 views  13 Jun 2022  #saas #development #website

This last year I designed and developed a Website using React and AI as a SaaS from scratch in just a month, and now I've sold it. I was able to make just over $30,000 from the whole experience! This video was also sponsored by APILayer, check them out below!


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APILayer - API Marketplace (Coupon: AdrianT20)


For those following along, I build Enhance AI not long ago which went live at enhaneai.ai. The website used OpenAI together with GPT3 to perform code completion and other features like blogging for developers. As a programmer, this was my first proper successful software as a service, and I was able to get heaps of people signed up and using it. I coded it using react, MongoDB, NodeJs, HTML, CSS, JS and lots more. As part of the software development, (which require lots of javascript to work in the end! haha) I found the blogging aspect was the most successful. However additional effort didn't yield better results.


@SimonHoiberg recommended I check out microaquire and try selling it. And I did! Micro acquire was a cool site and I learned a lot from the whole experience, including how to negotiate a contract, terms and conditions, and lots more!


#website #saas #development


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How to use ChatGPT to build Business Ideas, Sites & Personal Projects



TRANSCRIPT  


0:00

chat GPT is more than just a language

0:02

model it can be used to create websites

0:05

businesses and much much more and I

0:07

would know because I created built and

0:10

sold a business on open ai's platform

0:12

just this year so in this video I'm

0:14

going to explain how you can do the same

0:16

using chatgpt and its models I've

0:18

structured this video in three different

0:19

parts the first part of this video will

0:22

cover the real world example of the

0:23

business I created and then sold the

0:25

second part of this video will cover how

0:27

to use chatgpt and its tools and models

0:30

to actually build websites applications

0:32

and businesses and the third and final

0:34

part will be the technical aspect which

0:37

is what this actually looks like behind

0:38

the scenes what you have to do in terms

0:41

of writing the actual code and how to

0:43

implement it into your own application

0:45

or website if at any point you feel

0:47

stuck or you want more information I

0:49

also have three useful videos that will

0:50

help you the very first is an

0:52

introduction to what chatgpt is and how

0:54

it works the second is a crash course on

0:57

using charge EBT essentially doing the

0:59

prompts and getting the outputs that you

1:01

would like and the third and final one

1:02

is the behind the scenes look at the

1:04

business I created called enhance UI all

1:06

of these videos should have popped up as

1:08

tooltips up here otherwise they'll also

1:10

be in the link in the description below

1:11

so let's start off with the first part

1:13

of this video how chat GPT is more than

1:15

just a model for chatting to an AI and

1:17

how it can be used to solve problems as

1:19

well as create business opportunities

1:21

they've only recently opened up chatgpt

1:24

to be available and free for anyone to

1:26

use which means you can try it out right

1:28

now at the link in the description below

1:30

but on top of that they've also made the

1:32

openai models available for anyone to

1:34

build out any ideas whether it's for

1:36

your own business or even just an idea

1:37

or a hobby you have so while openai had

1:40

this restricted behind a private beta I

1:43

was lucky enough to get access to that

1:45

private Vader these models weren't as

1:47

refined as chat GPT is today you had to

1:49

play around with lots of parameters to

1:51

get the outputs you wanted and there was

1:53

no nice interface to be able to chat

1:55

along with it you can still access that

1:57

playground I'll link it in the

1:58

description below where you get to play

2:00

around with a bit of a Sandbox of chat

2:03

GPT and its models and you can also

2:05

figure out exactly how you might

2:07

consider building your own business or

2:09

ideas so moving back to this idea that I

2:11

built up it was to solve my own problems

2:14

back then these problems were to do with

2:16

development and coding because I was

2:18

making a lot of mistakes and I wanted to

2:19

see if this AI model could basically

2:22

help me solve them and so I trained GPT

2:24

to do this quite effectively I built a

2:27

front end and a back end around this

2:28

website and I called it enhanced AI it

2:31

was essentially just like chat EBT just

2:33

dumb down a little bit so that any

2:35

developer could get answers to very

2:36

specific questions that they were asking

2:38

questions included explaining a piece of

2:40

code very similar to what chatgpt does

2:42

now as well as converting a piece of

2:45

code from say JavaScript to Python and

2:47

many many more examples while this kind

2:50

of worked the original models from

2:51

openai which were called DaVinci at the

2:54

time weren't that great at coding it

2:56

wasn't until codex was released this

2:58

model which is specifically designed for

3:00

GitHub co-pilot that we started to see

3:02

the coding opportunities from openai

3:04

unfortunately the release of GitHub

3:07

co-pilot also made my openai model a

3:09

little bit redundant so I have pivoted

3:11

and focused more on content writing as

3:13

well as blogs and blog outlines I

3:16

created a Content editor that was using

3:18

open ai's models and this actually was

3:20

quite successful I created a number of

3:23

really cool features here things like

3:25

fixing grammar lengthening sentences and

3:27

even a micro predict feature which would

3:30

essentially write out a paragraph for

3:31

you similar to what you have in Gmail

3:33

but in an entire paragraph rather than

3:35

just a word or two so I decided to take

3:37

this business to Market I listed it on a

3:40

website called micro acquire this is a

3:42

website where you can list businesses

3:43

for sale even business ideas and I was

3:46

able to sell it to a third-party

3:48

blogging organization I went on to sell

3:50

this for about thirty thousand dollars

3:52

and this should give you an idea of how

3:54

chatgpt open Ai and its models can be

3:57

used to start any type of business in

3:59

any type of Industry with that said

4:00

let's move on to the second part of this

4:03

video in this part I want to explain

4:04

exactly how you yourself can start

4:07

building and utilizing the open AI

4:09

models as well as chat GPT itself in

4:12

your day-to-day life as well as to build

4:14

your own startup business idea or much

4:16

much more I'll do this in two parts the

4:18

first we'll have a look at chat GPT

4:20

itself to see exactly how you can use it

4:22

in business and in work and even just in

4:25

your personal life the second part will

4:27

be having a look at the more advanced

4:29

models that chat GPT is based on

4:31

traditionally you'd use chat GPT to ask

4:34

questions questions like how to build a

4:37

website unfortunately questions like

4:40

this don't provide the best results

4:41

simply because it will only give you a

4:45

text-based response if you want to be

4:46

smarter around your prompts you'll be

4:49

able to get much more information the

4:51

very first part of this is actually

4:52

putting in specific code that you might

4:54

want to have solved and then prompting

4:56

chatgpt to solve it for you so as an

4:59

example of that instead of saying how to

5:01

build a website we could say build a

5:03

website starter template for a page

5:07

called

5:08

index.html for this example instead of

5:11

just getting a text-based reply on how

5:13

to build a website we'll actually get

5:14

the code involved in build it'll look

5:17

something like this and you'll be able

5:18

to Simply copy paste the code straight

5:20

in this of course applies to any problem

5:22

you might have you can ask chatgpt to

5:25

essentially write any type of code

5:27

whether it's a JavaScript function to

5:29

complete an event where it tracks your

5:31

mouse or some python code to do some

5:33

algebra of course not all businesses are

5:36

Developer related there are certain

5:38

businesses that might be say in

5:40

Recruitment and it might involve for

5:42

example scanning through lots of resumes

5:44

chat GPT can be used to scan through a

5:47

resume and then identify key criteria

5:49

such as skills or job experience and

5:52

then pull those individuals out to mark

5:54

them for review a feature like this

5:56

could save countless hours to a

5:58

recruiter who for example might have

5:59

have to scan through thousands of

6:01

resumes every single day and this is

6:03

just the beginning of the kind of

6:05

practical use cases that chat GPT might

6:08

have on business I'm gonna show some

6:10

practical examples so that you guys can

6:12

use this to apply it in your own

6:13

Industries here I'm going to get chat

6:15

GPT to write a cover letter for a

6:18

developer with skills in angular of

6:20

course this is a bit of joke we're

6:22

actually looking for a react JS

6:24

candidate and with that we're going to

6:27

ask open AI system here to check whether

6:30

or not this person has a react.js

6:32

experience we're going to only ask for a

6:35

yes or no reply predefined prompts like

6:38

this where you can copy paste a resume

6:39

in and then ask chatgpt to answer for

6:43

you a yes or no reply will essentially

6:45

make the job of the recruiter much

6:47

easier and this is where we'll now start

6:49

to take a step outside of just chat GPT

6:53

and have a look at open ai's other

6:55

models as well as its playground to

6:57

really test the boundaries of what's

6:59

possible in terms of doing things just

7:01

like this what you'll need to do is head

7:03

over to the original open AI website by

7:06

simply removing the chat part of the

7:09

domain and just going to openai.com head

7:12

over to apis and then select to login if

7:15

you've created a login with chatgpt then

7:18

you should be able to log into this

7:20

interface just fine once you've logged

7:22

in you'll be taken to this dashboard

7:24

here which normally you could go to open

7:26

AI chatgpt3 but in this example we're

7:30

going to head over to the quick start

7:31

tutorials as well as the examples I'm

7:34

going to head over to examples here and

7:36

we're going to get quite a few different

7:37

types here I'm not going to cover all of

7:40

these models but it is a good idea to

7:42

actually test these out yourselves

7:44

because there are quite a few

7:45

interesting things that chat gpt's

7:47

models can do here things like convert

7:49

movies to emojis or classify text

7:52

there's quite a few different examples

7:54

here but let's actually have a look at a

7:56

simple one I'm going to start off with

7:58

this summarization for a second grader

8:00

and this will open up in the playground

8:02

environment this playground you'll

8:05

notice is all text based but the

8:07

difference here in terms of chat GPT as

8:10

well as this playground is the fact that

8:11

it is all in one big text box you ask

8:15

your question here and chat gpt3 or at

8:18

least text DaVinci 003 will give you a

8:21

response I've clicked submit so that you

8:23

guys can have a look and it comes out

8:25

with the summary here for Jupiter now

8:28

what's interesting to note is the

8:30

different models we have available to us

8:32

here this is not technically chat GPT

8:34

this is DaVinci 003 it has different

8:38

responses so does Curie and some of the

8:40

other examples like even crushman which

8:43

is sort of like the Codex model that a

8:46

GitHub copilot is based on Now using

8:49

these we can even customize them further

8:51

with things like the temperature here

8:53

which is technically a statistic of

8:55

Randomness where a temperature of zero

8:58

give us no Randomness whereas a

9:00

statistic of one will give us lots and

9:02

lots of Randomness in the answers these

9:05

are all predefined in chat GPT but these

9:08

are all customizable inside of the

9:10

playground and this is why this is the

9:13

best place to start building a website

9:15

or a business or an application idea

9:17

because you'll have full control to test

9:19

out the environment and this is the

9:21

segue to the next part of this video

9:24

where once you get a better idea of how

9:26

to use the playground and getting

9:28

prompts and outputs that you want you

9:30

can start creating an API layer to

9:33

interact with the open AI platform

9:35

directly and build a SAS on top of it I

9:38

want to showcase one more example before

9:40

we move on let's head over to examples

9:42

and go to chat this is going to give you

9:46

an idea of for example how the open AI

9:49

platform originally conceptualized open

9:52

ai's chat gpt3 here you have some

9:55

general settings for the conversation

9:57

which is that it is between a human and

10:00

an AI assistant we have a few rules as

10:02

well for it to be helpful creative

10:04

clever and friendly and this is where

10:07

the conversation begins we can say what

10:10

is your name and here the AI will give

10:13

us a response as you can see this is

10:16

fundamentally what chat GPT looks like

10:18

but here is where you can create your

10:21

own type of interface with your own type

10:23

of rules and allow you to build a

10:26

business with your own type of chat as

10:27

well now hopefully this gave you a good

10:31

idea of all of these things that are

10:33

happening in the background but how do

10:35

we interact with this how would we build

10:37

a front-end website to integrate an API

10:40

to start talking to these models this is

10:43

the third part of this video and this

10:45

part will be quite technical we're going

10:47

to take a look at at the code that's

10:49

happening in the background the requests

10:52

and the responses that we can perform as

10:54

part of the open AI model for its API

10:57

there's a lot of documentation you guys

10:59

can have a look at which I'll link in

11:00

the description below but this will be

11:02

using the JavaScript interface I'm going

11:04

to be writing some code in vs studio and

11:07

we're going to be using via Studio code

11:09

to essentially engage with the open AI

11:12

platform now if this part doesn't

11:14

interest you you can hit the like And

11:15

subscribe button but if you want to

11:17

learn what's happening behind the scenes

11:19

now we get to take a look to start off

11:21

with it's quite useful to head over to

11:23

the documentation and scroll down a

11:25

little bit to the completions part of

11:28

the API we have a few examples here of

11:31

doing a completion using the gpt3 models

11:35

but these are basically if you're doing

11:37

a HTTP request we're going to be using

11:40

node.js in this example we're going to

11:42

be downloading the open AI module and

11:45

we're going to be using it to create

11:46

requests directly grew to open AIS

11:49

platform then we can use these requests

11:52

and structure them in any way we want

11:53

let's take a look at how this works I've

11:56

downloaded and installed node.js and

11:58

I've also downloaded and installed a vs

12:01

Studio code here I've created a new

12:03

folder called chat GPT and I'm going to

12:05

create a file called index.js I'm also

12:08

going to install the openai platform by

12:11

running npm install open AI here we're

12:15

going to be able to use this module to

12:17

start interacting with openai I also

12:20

have a package.json here and as part of

12:23

that package.json I'm going to add in a

12:25

type and here we're going to do module

12:27

this is just so that instead of doing

12:30

requires we can do Imports heading back

12:32

to the open AI platform here we can now

12:35

go to the documentation and simply copy

12:37

paste the code we have here for creating

12:39

a completion we'll head back into vs

12:42

code and we're going to paste this into

12:45

our index file we only need to do one

12:47

other thing here which is to implement

12:49

the API key to do that we're going to

12:52

head back to the website we're going to

12:54

head over to view API Keys here under

12:57

your dashboard and we're going to get a

12:59

copy of your secret key now I have one

13:02

over here I'm going to create a brand

13:04

new one for testing here and I'll delete

13:05

this after this video so don't try and

13:07

copy this but for your own key just make

13:10

sure that you keep it private and do not

13:12

show it publicly anywhere because it

13:13

will be using the Chrome Reddit that you

13:15

have from your account now let's head

13:17

back to vs code and let's plug this bad

13:20

boy in I'm going to apply it here where

13:22

we normally should do it as a process

13:24

environment key but for this test this

13:27

should be enough finally I'm going to

13:28

update this statement here to be an

13:30

import instead of a require and that's

13:32

about it we can now test this out by

13:35

calling node and calling index.js here

13:38

we're going to get a response back from

13:40

the server but we're not console logging

13:42

it out so I'm going to console log and

13:44

we're going to log out of the response

13:46

here and we're also going to call out

13:49

the data that we get this should show up

13:51

now in the terminal and here we get the

13:54

response so it says this is a test and

13:57

the response is this is indeed a test

13:59

which means that it was successful we do

14:01

get some other information here like the

14:03

ID and the object as well as the model

14:05

when it was created and a couple of

14:07

others but this is a quick and basic

14:09

example of how you can interact with the

14:11

API these are the essential building

14:13

blocks of how how you would build a

14:16

business using open Ai and its models if

14:18

for example you have some interesting

14:20

ideas you can use this and wrap it

14:22

around a shell and then serve it to

14:24

customers in this regard the sky's limit

14:26

it's up to your own imaginations as to

14:28

how you want to utilize open ai's models

14:31

but hopefully this gives you enough

14:33

information to go by if you want more

14:35

advanced examples of all of this let me

14:37

know in the comments below and I can do

14:39

a follow-up video of exactly how this is

14:41

possible too otherwise don't forget to

14:43

hit like subscribe and I'll see you in

14:45

the next video thank you


What is ChatGPT and How You Can Use It


TRANSCRIPT

0:00

chat GPT is one of the most trending

0:02

topics right now it's been less than a

0:04

week since its release and people's

0:05

minds are being blown with what it can

0:07

do it's also breaking records with over

0:09

1 million users signed up in just 5 days

0:11

faster than Netflix Twitter Facebook

0:13

even Instagram no longer will you be

0:15

Googling the answers to problems Chad

0:17

GPT and gives breakdowns of them in fine

0:20

detail with explanations exactly how it

0:22

works this will make people question

0:24

just how relevant Google will be in the

0:26

coming future do you want to know the

0:28

limitations of typescript chat GPT has

0:30

you covered but what exactly is Chad GPT

0:33

what makes it so powerful these are

0:35

things I wanted to find out it's built

0:37

by the same people that are behind open

0:39

AI which are now shaping some really

0:41

interesting Technologies and they've

0:43

been building powerful engines like

0:44

codex which is the engine behind GitHub

0:47

co-pilot something that many of us are

0:49

already using in our day-to-day coding

0:51

on vs code and if you're looking closely

0:53

you might see the beginnings of chat GPT

0:54

where people put in prompts and they get

0:57

outputs from an AI generated system

0:58

another example was Dali 2 which was an

1:01

image generator based on prompts you

1:03

enter here you get different types of

1:04

visualizations of a Spaceman on a horse

1:07

and lots of other examples even

1:08

extending out classical artwork chat GPT

1:11

is therefore a way of prompting an AI to

1:14

solve or answer a question or a prompt

1:16

in a human-like manner very different

1:19

from anything else we've seen before and

1:21

this can sound scary very scary

1:23

especially to organizations like stack

1:25

Overflow which Pride themselves on

1:27

solving problems with human related

1:28

answers they've actually gone as far as

1:30

Banning chat gbt out from their systems

1:33

this is because they want to build a

1:34

level of Trust on there and if people

1:36

simply copy paste answers from GPT

1:38

without any references that might break

1:40

that level of trust this is all quite

1:42

interesting but let me have a look at

1:44

chat GPT under the hood by actually

1:46

using it and seeing just how useful it

1:48

will become as part of our day-to-day

1:50

lives in development as well as any

1:52

industry in case you didn't know chat

1:54

GPT is entirely free if you want to try

1:57

it out yourself simply go to open AI log

2:00

in with a brand new account and then

2:02

select the chat GPT interface I'm quite

2:05

fond of the design it's nice and simple

2:06

giving you the examples as well as some

2:09

capabilities and limitations of chat GPT

2:11

some of these capabilities are quite

2:13

powerful things like remembering what a

2:15

user said in a conversation and

2:17

providing follow-up corrections as well

2:18

the first thing I wanted to do is to see

2:20

if it could tell me what python or

2:22

typescript is and it gave me a pretty

2:24

sound answer saying that typescript is a

2:27

programming language that's a superset

2:28

of JavaScript since I haven't actually

2:30

used typescript before I decided to ask

2:32

it if it could give me a Hello World

2:34

function not only did it write the

2:36

function in such a manner that I could

2:38

literally copy paste it out but it also

2:40

explained the function to me and this is

2:42

really just the beginning and here is

2:44

where things get interesting I've been

2:46

working on a small application and I was

2:48

getting an error that I couldn't figure

2:49

out I decided to copy paste this error

2:52

into chatgpt to see what it would say

2:54

here's some JavaScript in vs code for a

2:56

upload for a video app I'm working this

2:59

code is fairly when I try to run it in

3:01

node.js I copy pasted this straight into

3:03

chat GPT asking if it could fix the

3:06

following code for me what I received

3:07

back was my code fixed and not only that

3:10

chatgpt went through and gave me the

3:12

code to copy paste and even explain to

3:15

me exactly what was wrong why it was

3:17

wrong and how it was fixed in this

3:19

example I had written my return function

3:21

incorrectly basically making a bit of a

3:23

typo and here it's gone through and

3:25

fixed that return making sure that it's

3:27

spelled correctly it's also been a bit

3:29

cheeky here adding in a comment that it

3:31

fixed the typo right here on the line

3:32

where it says return if I didn't know

3:34

any better this could have come from a

3:36

real human even for example a mentor or

3:39

a supervisor that could be checking and

3:41

reviewing your code and this makes me

3:43

question exactly what things might look

3:45

like in the future of development

3:46

because this could really be like a

3:48

personal assistant officer but chat GPT

3:50

has a lot of relevance even outside of

3:52

programming since it's practical to

3:54

pretty much anything here I wanted to

3:56

create a list of food I can eat that

3:59

don't include carbs because I'm trying

4:00

to lose a little bit of weight it gave

4:02

me three dishes that I can have grilled

4:04

chicken as well as shrimp as well as

4:06

some omelets taking this one step

4:08

further I asked if it could create a

4:10

shopping list for me based on those

4:12

meals and yes it did that very easily

4:14

not only that it indented them and made

4:16

them nice and readable I think that chat

4:18

GPT is here to stay I think it'll be

4:21

revolutionary it'll become part of our

4:23

day-to-day lives similar to how Google

4:25

has and not only that it's going to

4:27

revolutionize so many Industries once

4:30

they take full advantage of it that's

4:32

just my opinion though what do you guys

4:33

think let me know in the comments below

4:35

and if you haven't already make sure you

4:36

guys hit like on this video


ChatGPT Tutorial - A Crash Course on Chat GPT for Beginners


TRANSCRIPT


0:00

this chat GPT tutorial is a small crash course for any beginner so we'll be

0:05

doing a number of things from creating a brand new account on openai to logging and using chat gbt to some of the more

0:12

advanced ways to use it if there's anything you want to know this video should cover it all let's begin I'm

Signup

0:17

going to start on Google here and I'm gonna browse to find open AI you can also head over to openai.com if you want

0:25

to skip this step here is the company that basically created chat GPT they've

0:30

created a number of different types of apis and if you want to have a look at them all you can head over to the API

0:36

page we're going to be looking at the chat GPT version if you want to head to that you should be able to select the

0:42

top nav bar here this will take you to a page called chat.openai.com if you don't already

0:48

have a login with openai you can select to sign up and create a brand new one for the sign up it's quite easy you can

0:54

simply log in with an email address or with a Google or Microsoft account while I already you have an account I'm going

1:01

to create a brand new one so that you guys can see this process I'm going to sign up with a new email address and go

1:07

through the prompts to create an account this way this will require the email address as well as a password and a

1:13

two-step verification process which will do the first thing that will happen is an email will be sent to the mailbox

1:20

that you're signed up with in this case it'll be sent to my gmail address I'm going to head over to that inbox now and

1:27

we're going to select the verification for email address button this will basically activate the account so we can

1:34

log straight into the open AI systems now the open AI dashboard isn't chat GPT

1:40

it's a separate dashboard to start using some of their normal models here for their open AI systems but to go back to

1:47

chatgpt we need to select the link up here that takes us to chat.openai.com here we'll need to log in one more time

1:55

and this should take us to the chat GPD system so again I'm going to put in my email address as well as my password in

2:02

here and this will now finally take me to chat GPT as this is the very first time I'm using it I need to fill out

2:09

just a few more details so here I'm going to fill out my name as well as my

2:14

phone number which will verify my account this will send me that two-step verification so I'll put in the code I

2:20

received on my phone number and finally we're now in chat GPT and its systems

2:26

and we can start to use it the first thing to know is that chat GPT is free and it's mainly used right now for

ChatGPT Details

2:32

research purposes there are a few prompts worth reading here when you get started things like their goal here is

2:39

to get some external feedback in order to continue to improve the system as well as making it safer they also have a

2:45

few safeguards in place because there are occasions where the generations are incorrect or even misleading so be aware

2:53

of that because if offensive or biased Pro content is produced then you might

2:58

not want to use the given device let's have a look at what else is being used here so we also have the collection of

3:06

data so the prompts and items that you are entered in are actually reviewed by

3:11

their AI trainers in order to improve the systems so this means just take notice of what kind of prompts you're

3:17

putting in and also don't share sensitive informations that might be happening inside your conversations

3:22

which means that if you're putting in passwords which really you shouldn't be try not to post screenshots of that

3:29

there's also a importance of feedback here because as you do discover and

3:34

utilize the system more giving feedback can help them improve the system there is a Discord server that you can join

3:41

where you can share your feedback and this one over here is actually accessible so I'm just gonna log into

3:47

this open AI one and it already has half a million members which wow that is

3:53

quite a few you'll need to go through the prompts here so visit the website

3:58

make sure that you read this and then complete the little survey here making sure that you're not going to be doing

4:05

anything such as spamming or anything like that so I've just applied here and here we've got all our discussion

4:12

threads and whatnot so you can join as part of the community now let's begin this is chat GPT it actually has a

4:20

couple of elements here on the page worth knowing we've got the sidebar here which essentially doesn't really do much

4:25

the main item here is the reset thread which I'll get into shortly here we have a couple of example inputs that we can

4:32

place and the input is just over here this is where you can type your text we

4:37

also have some details here about the capabilities and limitations let's take a look at all of this so in terms of the

4:43

capabilities the chat GPT system actually remembers what you said in

4:49

previous conversations now be aware that this is the conversation thread that

4:54

you're currently having if you strike up a brand new conversation thread that won't be remembered just the current one

5:00

that you're in it also allows you to do follow-ups and Corrections so for example if you didn't get quite the

5:06

answer that you're looking for you can always ask for another one or really just re-prompt for a different option

5:13

the AI is also trained to decline providing negative or inappropriate

5:19

requests so if for example you're asking for something malicious most times out

5:25

of 10 it will not provide that however there are odd situations where it might accidentally do this and let's go to the

5:33

limitations this time to have a look at some of the problems that you might encounter when using chatgpt firstly

5:40

some of the generations might actually be inaccurate it is only trained until

5:46

the last couple of years of information so it's not able to say access the internet right now it is in an offline

5:54

State as of a year or two ago it also doesn't do mathematics very well so it

5:59

might have some issues if you're doing things like 10 plus 9 it might not give you the correct answer there's also some

6:05

bias to the content that is produced based on what you've produced earlier in

6:11

the conversation and this could essentially mean that it occasionally produces some harmful instructions and

6:16

those have to just sort of be ignored and finally as I mentioned earlier there is limited knowledge Because the actual

6:23

AI is trained for events just towards 2021. this means that it won't have

6:29

up-to-date information of relevant and current facts that are happening in the world with all of this said and done now

6:35

we can now actually start taking a look at using chat GPT the first thing to

6:40

take note of is that using it is very simple all we have to do is enter in a

6:45

message or a query or a prompt of what we want the AI chat GPT to do for us and

6:50

then we get an output there are a few examples here with buttons basically asking us maybe explain what Quantum

How to use Prompts

6:57

Computing is or how to make a HTTP request in JavaScript but I'm going to

7:03

minus these out and I'm going to use my own which is what is 10 plus 9 as a

7:09

question mark this is a pretty simple prompt then we simply select enter or set the button here and press and click

7:16

on it and we start with our very first prompt now here we have two parts to

7:22

this prompt we've got what we've prompted and then we've got the output here from openai now this is pretty damn

7:28

simple but there are a few things to take note of here the first thing is the question what is ten plus nine now we've

7:35

got the output here that says 19 but we also have this option here to try again

7:40

so if I was to select that what we end up getting is essentially the same answer but just written in a different

7:47

way in this case it's been written more mathematically which is 10 plus 9 equals 19 but it's not just 19 like it was

7:54

before and we can continue to click on this but if for example we've given as many results as we possibly can then it

8:01

might error out like you just saw earlier or it might continue to give us better answers like this is a half

8:06

mathematical half verbal one where it says 10 plus 9 is 19. we can try again and this time it says 10 plus 9 is 19.

8:13

so it's almost repeating now you'll get to a point where there's only so many ways it can be written we have a number

8:19

of other things to to take note of we've got these thumbs up and thumbs down icons and this is to give open AI some

8:26

feedback as to the prompts we have here we also have these arrows here when you hover over to show the different types

8:32

of outputs that you've gotten based on the input that you've provided now I've just done five of them so I can toggle

8:39

through them and I like number five the most so this one I can give a thumbs up now if for example it gave a poor answer

8:46

we could do the same by going back here it says an error occurred and I say

8:52

no answer provided so this for example is how you would provide feedback to the

8:58

system if you needed to now this is our very first prompt in this conversation

9:03

we can continue to make more props such as saying how good is open a eyes chat

9:11

GPT at maths and ask this question so this question is still part of this

9:19

conversation and we're getting an answer now being streamlined and generated from open ai's chat GPT it says as a large

9:26

language model trained by openai it doesn't really have the ability to perform mathematical calculations now

9:32

here's where you might have to be careful there are situations where the outputs might not actually generate the

9:38

kind of consistent answers you might be looking for such in this example I'm going to trick the AI saying that it is

9:45

actually 20. 10 plus 9 is 20. now the prompt will say that it is a language

9:51

model so what's going to happen now is I'm going to ask one more prompt saying is 10 plus 9 equal 20 and since I

9:58

previously said that it was now it's been tricked it actually does think that 10 plus 9 is 20 and it's going to

10:05

confirm that answer this is where confirmation biasm might come into play and you have to be careful what kind of

10:11

prompts you're putting in because they will influence the outputs that chatgpt provides now this entire thing here is a

10:19

conversation station and we could continue this conversation indefinitely but we're not gonna do that we're going

10:25

to start a new conversation this is because all of this conversation is

10:31

essentially structured in such a way that it's in history it's essentially taking reference of what we've said

10:36

earlier in the conversation and pulling that context into new responses this is why we got 10 plus 9 is now correct as

10:44

20 which doesn't make much sense in order to go back we're gonna reset the

10:49

thread and we're going to select at the top left button over here in order to do that it'll take us back to this main

10:55

dashboard here and now we can start up a brand new conversation I'm going to ask the same question here is 10 plus 9 20

11:03

which we know is incorrect but we tricked it earlier that it was this time however since the chat GPT system is not

11:11

referencing that previous conversation it's going to answer the correct manner even though math isn't the best example

11:17

this is just a good example to Showcase that no 10 plus 9 is not equal to 20. it's actually 19 which is correct and

11:24

with that said and done we now know all the basics to more or less utilize chat

11:30

GPT there are a few other things I want to show on the website before we move on to some more advanced examples and how

11:37

to utilize cha GPT to its full effect let's take a look at the rest of the website here we have this toggle here

11:44

for dark and light mode so the default I'm pretty sure is the dark mode or

11:49

whatever your operating system is on I'm going to swap to dark mode which well doesn't do anything but then I can also

11:56

swap to light mode which is a little bit harsh on the eyes personally I prefer the dark mode which is what I'll keep it

12:02

connected to I also have the option here to connect to the Discord server that we had a look at earlier as well as the

12:10

option to have a look at the FAQs and updates which takes you to a form like

12:15

website here where you get to learn a little bit more about chat GPT how it works and its background it is

12:22

essentially based on the gbt 3.5 model which is a newer one that provides

12:27

human-like feedback let's begin with our first Advanced prompt this a prompt will be on how to create some food

Shopping List

12:33

specifically some seafood first of all I don't particularly know yet what type of food I want so I'm going to ask Chad GPT

12:40

to give me 10 dishes with seafood and here is an example of a list prompt this

12:47

is where you ask chat GPT to give you a specific number of items of a specific

12:53

number of things in this case it's 10 items of seafood the output here should

12:58

be based on the context of that query so in this example it's a human propped that is being outputted with a list of

13:06

10 items but it also gives you a little bit more context here saying that there are different levels of difficulty for

13:12

each one of these dishes now this is where things can get interesting because we can now start having a look at this

13:19

list and selecting options we like such as the first two for shrimp and salmon burgers and then following up this

13:26

conversation with more queries I'm going to ask in the next part of this conversation if chat GPT can create a

13:33

shopping list for me based on the very first two items those two being shrimp and salmon I don't have to particularly

13:39

say shrimp and salmon it should just know based off the context or the conversation and the result here is essentially

13:46

creating another list but this list does not have a specific length it's based on

13:52

the options we added in earlier so here it provides an output that is indented

13:57

and bullet pointed for each one of the dishes for the salmon burgers and the shrimps to let me know exactly what I

14:03

would need to buy from the shops to be able to put these together that is pretty damn cool and this is just also

14:11

still the beginning because we can continue this conversation based on all this context now that chat GPT has

14:18

provided us a list of 10 dishes as well as a shopping list for all the ingredients we would need to make one or

14:24

two of those dishes the next practical question is quite intuitive which is can you tell me exactly how to cook for

14:30

example salmon burgers which is something of a thing that we would normally have to Google a lot for but

14:37

based on this and the ingredients chat GPT will provide us with one final list of exactly what steps we would need to

14:44

put them together this is just a quick shopping list example of open ai's

14:49

charge EPT now that you have an idea of how you can continue a conversation let's have a look at some more examples

JavaScript

14:55

this time I'm going to use chat GPT to do some coding for me I'm going to use one of the pre-made prompts here on how

15:01

to do a HTTP request in JavaScript this is a pretty ordinary prompt but here

15:07

we'll get to start to see some of the more coding aspects of charge EBT and what it can perform here it's going to

15:14

answer this question but it's going to do this in a number of ways first it'll give me some context as to what it's

15:20

doing then it's going to give me the code snippet of exactly how to perform the function based on the prompt I've

15:26

put in and then finally it'll give me a description of what the code is specifically doing all of this is quite

15:32

useful and this is just the beginning I'm going to request chat GPT to update

15:38

this request and instead of it just being a generic API call for data instead we're going to to grab some

15:45

weather data now I'm going to ask if it can get me the weather in New York City and I wanted to Output how this query

15:53

might look like in terms of JavaScript the response back is that openai will generate the request for you it will

16:00

create a generic version of that request using a weather API that doesn't really exist you'll need to pick your own with

16:07

an API key that you'll need to enter but the request should look something like this where it's getting an example.com

16:12

passing in the weather City being New York City as well as the units and

16:18

passing in the API key it'll then explain exactly how this get request would work as well as how it would come

16:25

back in the form of a Json that you could then utilize inside your application this is all pretty useful

16:31

but not quite everything that we're looking for just yet the next step here is to ask it to update this query in

16:38

order for it to Loop through the data that we would get back from this API and then play lace this into a website now

16:46

something to take note of here with chatgpt is that you have to be quite accurate in how you're requesting

16:53

different things this is why if for example you have a background in programming writing these prompts might

16:59

be a lot easier because you know what you're after whereas if you're not quite sure it might be a little bit more

17:04

difficult and this is actually kind of true for all types of Industries where chat GPT might be useful in this example

17:11

I'm getting it to Loop through temperature wind and precipitation and this should create a brand new output

17:18

for me and this is where the complexity and benefits of what chat gpds start to

17:23

shine through because what's going to happen here is we're going to get a piece of code that is not just a fetch

17:29

request but it's also going to be a loop function which is going to pull out the values from the data response and then

17:36

it's going to put this into a website for us after it pulls out the values of temperature wind speed and precipitation

17:43

it's then going to create the JavaScript code to place them into a website using p element tags and then append them to

17:51

the website body finally it's going to go through the code here and explain exactly what's happening like I just

17:56

have been where it's using an example API with example code so you really need to update this to make it work for your

18:03

own project there are going to be occasions where the chat GPT systems are

Errors with ChatGPT

18:09

going to be offline or for example unable to answer a prompt in this next

18:14

example I wanted to do a story about a rabbit and a mouse and I put in an

18:19

option here and I got a response back that an error has occurred I've selected try again a couple of times and that

18:25

didn't work either now this can sometimes occur when the output of a prompt might for example have some

18:31

incorrect information maybe something that might be harmful or maybe even inaccurate and in those situations

18:38

chatgpt is automatically set in such a way as to not to provide a response this

18:45

is a safety mechanism sometimes a different way to approach this is to Simply write a different prompt so that

18:52

you might have a different output from Chad gbt but in some situations if the servers are entirely down you might find

18:59

that you just might have to wait a little bit another thing you can do is always refresh the page or alternatively

19:05

just log off completely restart the browser and then log back into your

19:10

session because that also sometimes fixes the problem now let's do a short story I'm gonna do a story about a

Short Story

19:17

rabbit and a turtle that went on an adventure this is a simple request for a story from openai and it's actually

19:24

quite good at providing these it's going to give us a story about these two that go on adventure where they swim across a

19:30

river there is a small moral to this story which is useful but it's really

19:36

kind of generic here if I want to have a more specific story based on the prompt

19:43

I'm putting in I'm gonna have to be be more specific with the prompt and this is where follow-up conversations can be

19:48

useful for this example I want to change the moral of the story to be one more focused about patience especially when

19:55

doing a story like this it makes sense between a rabbit and a turtle chat gbt should be able to now rewrite

20:02

the entire story with more emphasis on this specific moral if we look closely

20:07

it has done just that it's got a moral here about how it was important to be

20:13

more patient and the turtle was able to do this this time along I wanted to also give me

20:18

the same story but throw in a little bit of humor so I'm gonna ask it to keep the

20:24

moral and add in a joke maybe somewhere at the end let's see what happens this time I'm gonna fast forward a little bit

20:30

but we can see that it's more or less the same story but at the very end of the story we have a nice little joke

20:37

here that I guess it goes to show that slow and studied really does win the race another type of prompt that you can

Text Video Game

20:43

work with Chachi PT is one of a sort of Storytelling video game which is a

20:49

really cool one that I've always enjoyed because of the creative answers that chachibidi provides in this case I'm

20:55

going to give the prompt that chat GPT is gonna pretend to be a text video game with options of a b c and d and then

21:02

from that we're gonna pick a scene from The Matrix and we're gonna see what we get presented with the output is based

21:09

on some storytelling it begins nice and simple you find yourself in a dark alley and we've got the options to select from

21:16

here I can now continue this conversation by selecting an option such as the option b here and the story

21:22

continues what's really interesting about this type of prompt is that you can pick any type of story from any type

21:29

of scenario you can pick ancient history you can pick literature you can pick movies and then you can enjoy the

21:36

creativity that jat GPT provides while also going through and being a little bit part of that experience another

Legal and Copyright Templates

21:42

popular way to use chat GPT is to generate content for things like websites or even documents that you

21:49

might need to prepare while you might not want to use the entire document as is you'll need to modify it it can give

21:55

you a helping hand in creating these in this example I'm going to create a copyright and privacy policy for a

22:01

website this is something common I have to do as a developer but here I have an

22:07

outline of a bit of a template that I can start using and I can be a bit more specific saying that it's for accounting

22:13

website which allows me to maybe have something more well outline for that

22:18

type of a website as part of the privacy policy as well as the copyright statement of course if you want to take

22:26

this a step further we can do that too since I'm located in Australia I want

22:32

these templates to be more specific to this country so I'm going to ask it to update these in the prompt I'm just

22:38

going to Simply write that as someone who lives in Australia Perth please update these to be relevant for the

22:44

country that I live in the output from chat gbt essentially is the same but with new updated information such as the

22:52

Privacy Act which is specific to Australia as well as wordings such as including Australia and international

22:57

copyright law in its template chat GPT is also quite creative as well as being

Jokes and Humour

23:03

able to produce humor in this example I'm going to ask it to write a nerdy pun why was the math book sad because it had

23:11

too many problems yeah a good one if we do a refresh we get more or less the same game output but we can continue to

23:18

ask it for more jokes or more puns as we need and we'll get quite a few many of

23:24

course depending on how you write this prompt is how you'll also get the output so for example you might want a longer

23:31

joke so in this case I'm going to say write me a nerdy maybe joke or a short story and they would produce a longer

23:38

content versions of the same output you can also be deliberate about your jokes and content such as combining two

23:45

elements together to see what is produced in this example I'm going to combine a hat with a rabbit and see what

23:52

chat GPT can up come up with I'm gonna ask her to tell me a joke combining these two items and here I get why did

23:58

the Hat keep falling off the rabbit's head because it had a hairline nice you can also put chat GPT into situations to

24:06

produce humor and jokes too so for example I'm going to get it to pretend to be a say Elon Musk and I'm gonna

24:13

pretend it had just bought Twitter which you know Elon sort of has done then to

24:18

create a joke Elon would say after he sport Twitter now since the API doesn't know that Elon has bought Twitter it's

24:25

going to have to guess here but its guess is actually kind of accurate saying that Elon would increase the

24:30

character limit there is another type of prompt which is useful and this is the one of writing things such as documents

Cover Letters and Resumes

24:38

or cover letters or even job applications altogether I'm going to request chatgpt to create a professional

24:45

cover letter for a junior developer position at a company called meta and

24:50

it's going to be for myself Adrian tuarog and I want to essentially use it as something that I can do to apply for

24:58

this job who knows also the basics for programming in general so with this kind of a prompt it's quite

25:05

specific but it will also give me a specific output so here I've generated one to a hiring manager is giving me a

25:13

good introduction of who I am and what I've done apparently I've done a bachelor's degree of computer science

25:18

which is impressive as well as working at an internship company called XYZ so

25:24

all of these are things that I would maybe need to update a little bit before say posting it off but this also might

25:30

be inaccurate I might not even have a bachelor's degree this is where we can go through and update this prompt of

25:37

this cover letter say removing the fact that I have maybe no prior job experience but maybe listing out that I

25:44

worked on quite a few different types of projects when I actually was doing a

25:49

boot camp in programming rather than going through University openai will go

25:54

through this prompt and update it based on the context of what is now required and this is what makes it pretty cool

26:01

because you can as essentially version out different types of cover letters here depending on your needs the real

26:07

trick here is to be specific whenever you're prompting cha GPT to create an

26:13

output for you but in terms of that it usually grabs the context of what you're saying quite effectively as long as you

26:19

write it in a clear and understood way let me continue this example now this

26:24

time based on this cover letter I want charging PT to create a resume for me that I could maybe combine as part of

26:32

this application so I can simply write based on this cover letter write a resume which includes things like skills

26:38

maybe work experience maybe even other things such as languages or Etc based on

26:44

the context of this I'm applying for the same position and let's have a look at what GPT produces so here it starts off

26:51

with some Essentials which is like a phone number as well as a spot there for an email address it has a small summary

26:57

if for example the person skipped reading the cover letter it then goes through and lists out my skills which is

27:04

quite cool as well as the education it actually has combined a both a bachelor's degree and a boot camp which

27:10

are two separate things from that context but we could update that it's added in the experience as well as some

27:17

example projects and all of this is content that could now be used in a resume as long as it was properly

27:24

updated with real world examples of what I've actually done chat GPT is also very

Summarization and Keyword Extraction

27:29

effective at doing summaries as well as pulling out content from documents let's have a look at the Privacy Act of 1988

27:37

here from Australia I'm going to scan down to this document and I'm just going to copy paste a random section of it

27:43

into chat GPT then I'm gonna give Chachi PT a query of what to do in this example

27:49

I wanted to maybe summarize or explain to me this Privacy Act in simpler terms

27:55

and then I'm going to copy paste the text here there are a few other variations that we can do here and I'll

28:01

get into the shortly but for the time being let's just start off with this simple example the output is just a

28:09

sentence or a paragraph here explaining what this section of the Privacy Act

28:14

intends to explain and while I won't get into the specifics of that this is just

28:20

an example of how you can do this this is basic summarization of course you can summarize it even further such as

28:26

requesting chat GPT to simply pull out the five most important keywords from the above statement summarization with

28:33

chat GPT can work in a number of ways you don't always just have to explain a summary you can give it specifics of how

28:40

you want to present that information such as explaining it to me like I'm five years old this can give quite a few

28:46

different types of answers you can do it for someone who's older younger or you could even simplify that even further by

28:53

asking to explain it for a three-year-old and I like this answer because it gave a prompt here where I

28:59

could understand that if someone does something bad with your private information the government will help make it better that is definitely for a

29:06

three-year-old another way we can request summarization is by being specific with the word count such as

29:12

explaining it in 20 words or less here it looks like open AI had to think a little bit on how to explain this one

29:19

but the resulting answer was within the context of what I requested which was for it to be in 20 words or less and I

29:26

actually really like this one it said the Privacy Act is a law that protects individuals information and provides a

29:33

mean for privacy concerns I'm now going to explore some of the strengths of chat GPT in terms of blogging writing

Blogging Articles and Editing

29:40

articles rephrasing and much more we want to create a blog topic and we're

29:46

going to use chat gbt to assist in that process we're going to request that it provides 10 log topic title ideas for an

29:55

article that might be something to do with say Graphics design or website Graphics design and that is it

30:03

from that it's going to give us a list of 10 different types of options we've got things like the essential principles

30:09

for graphics design role in color common mistakes Etc from this list I'm gonna select option three which I like seven

30:16

common mistakes to avoid in website Graphics design but I don't particularly

30:21

like that title just yet so I'm going to ask Chad GPT to give me five variations on that topic title then I'm going to

30:28

paste in the topic Title Here it gives me five different types of options here but all of them aren't that interesting

30:34

and I'm actually quite happy with that very first one now we can move into writing the outline for this blog post

30:41

using chat gbt I'm going to ask it to provide me the outline for the article

30:46

in clear writing and the title which I picked which is the seven pitfalls to avoid for website Graphics design

30:53

now I will get a pretty well written outline it'll include include an

30:59

introduction with a couple of points the seven pitfalls themselves so it'll pick out those pitfalls give me a short

31:06

summary in dot points of what they are and how they work and then it'll also fill in a conclusion this is pretty much

31:14

everything that I would need if I was writing a Blog article and this is again still just the beginning because now I'm

31:21

gonna ask it to even write the introduction for this article and I want it to be at least three sentences long

31:29

the output here will give me that introduction which is Graphics design plays a crucial role in the success of a

31:36

website Etc here's where we can start playing around with writing blogs and content in

31:42

general we could ask chatgpt to rephrase the following sentence and then paste in

31:47

the sentence we want and here it'll give us an alternative sentence which is a little bit more nuanced I suppose it

31:54

says the success of a website is heavily influenced by its Graphics design it's essentially saying the same thing but we

32:00

can also ask chat gbd to do a number of other things such as lengthen the sentence so here it's saying the same

32:06

sentence but it's a little bit longer the reverse is also true if we've got sentences and that are slightly too

32:12

large we can also ask cha GPT to shorten them and this provides a shorter version

32:17

which is very similar to what we originally had and we can even ask it to fix the grammar so say I was just

32:24

writing my own blog and I wanted to spell check and grammar check then it can work as a bit of a co-writer that

32:29

there for you essentially making sure that your sentence are good graphics design impact good website comes out

32:36

essentially saying a good graphics design can impact a good website much

32:41

better written if you're writing for blogs in different languages Chad GPT can even translate that to pretty much

32:48

any language I'm just gonna take a guess here and see if it can translate the above statement or sentence into say

32:55

German in this case I could probably plug this into Google to make sure it's

33:00

correct but honestly I think I almost trust chatgpt here more within translation than even Google the reverse

33:06

is also true if you've got something in a different language such as German and you want to translate it back to English

33:12

you can do that you can even add in things like adding it in a friendly joking way and we get back this example

33:18

here a good graphics design can totally Rock a website socks off which is pretty funny now that we have a outline for our

33:25

blog an introduction and say we've written it as well we can even prepare a new newsletter for it to be sent out by

33:31

email and even have Chad gbt create the subject line for that email here I'm just going to ask it to create the

33:37

subject line for an email newsletter based on the above and it's going to give me an output here of maximize your

33:43

website's potential with these Graphics design tips perfect I hope you guys enjoyed this chat GPT tutorial this

Conclusion

33:49

crash course is just an introduction so that you can understand a better way of how to use it to your best advantage of

33:55

course if you have questions or if you have suggestions let me know in the comments below don't forget to like the

34:01

video and subscribe if you want to see content like this thank you


I built SaaS using OpenAI in 30 days (Using GPT and its API)



TRANSCRIPT


0:00

i spent seven days building my own sass

0:02

it's gonna help developers win at life

0:04

by using ai and in this video i'm gonna

0:06

show you how i did it all the fun and

0:08

all the pain and an actual product at

0:10

the end they say developers can build

0:12

anything well i'm a developer and i want

0:15

to build just something i want to build

0:17

a sas and i'm not really sassy per se

0:20

but a sas is just a software as a

0:23

service and it seems easy enough to

0:25

build you just need some front end maybe

0:27

some back end and maybe you need it to

0:29

work without bugs we'll see along the

0:32

way but i want to build something really

0:34

cool recently i checked out github

0:37

co-pilot and it uses aitech it's really

0:40

cool ai attack that auto-completes what

0:42

you're writing and i wanted to use some

0:44

of their tech to build a sas a number of

0:46

tools maybe for developers or something

0:48

like that because i'm a little bit of a

0:50

tool myself and whenever i jump into a

0:52

problem i always have to google it if

0:54

there was an easier way for me not to

0:56

have to google the same things over and

0:58

over like how to perform a git merge or

1:01

for example how to you know just do

1:04

basic commands or even regex regex just

1:07

blows my mind with some of the syntax so

1:10

i'm gonna try and build a tool around

1:11

that

1:12

now the way i'm going to do it is i'm

1:14

going to show you i'm going to take you

1:16

on this journey where i'm trying to

1:18

solve these problems of building a sas

1:20

this will be everything like trying to

1:21

build the front end and the back end

1:23

trying to design it and everything in

1:25

between so let's jump into my very first

1:27

day of trying to do this so the first

Picking a topic

1:29

thing i need to do is get access to some

1:32

ai tools there are lots out there google

1:35

has their own machine learning suite so

1:38

that's amazon and even microsoft

1:40

themselves but this isn't what got me

1:42

excited in the first place what really i

1:45

enjoyed was github co-pilot and that was

1:48

made by a company called openai they

1:51

created their own ai tech called gpt2

1:54

and now also gpt-3 which created the

1:57

model that they're using which is i

1:59

think called codex

2:00

that they have for developers using vs

2:03

code that's what i wanted to use to

2:05

create some of these tools so i tried to

2:08

jump onto their website and

2:09

unfortunately even though there are

2:11

companies called openai you can't just

2:14

jump in there and get access and sign up

2:16

you actually have to go through a

2:17

waitlist and a process so i did just

2:20

that and i waited and waited and

2:24

eventually i did get in so now here i am

2:27

inside of their playground and i'm gonna

2:29

try and see if some of these ideas that

2:31

i have around building tools with ai

2:33

actually even work so let's try them out

Learning OpenAI

2:35

i jumped on the open ai website to try

2:38

and figure out how it all works i was a

2:40

little scared at first because sometimes

2:42

documentation can be terrible on some

2:44

developer websites but honestly the open

2:46

ai documentation is some of the best

2:48

i've seen so far it actually even

2:49

reminds me of stripe documentation which

2:52

is world class but this does not mean i

2:54

know what i'm doing i jumped into their

2:56

playground system and i was overwhelmed

2:58

with all these different things like

3:00

models response temperature toppy

3:02

frequency presency i was just at a loss

3:04

so i jumped into their examples here it

3:07

shows off some of the things you can

3:08

build with openai and for me i wanted to

3:10

kick things off with a regex completer i

3:13

played around with a lot of different

3:14

settings and prompts until i got a

3:16

number of things working like a

3:18

javascript chatbot and even the regex so

3:21

it means that it is possible seems like

Registering a domain name

3:23

there is some cool merit to this idea

3:26

around creating natural language to

3:28

solve programming problems that we all

3:30

have but let's have a look at the next

3:32

most important step in building this sas

3:35

and that is to register the domain name

3:38

and to do that i need a business name

3:40

and that is one of the hardest things to

3:42

do i thought about all different types

3:45

of options and i came up with a name

3:47

called subwriter or was it sub editor i

3:50

can't remember but i immediately went to

3:52

register it there's new domain names out

3:55

there called dot ai so i jumped on and

3:58

registered a dot ai domain

4:01

and actually then after spending i think

4:04

two three hundred dollars i decided no

4:06

no i don't like this domain name i need

4:08

to register another domain name one of

4:11

the things that i've been doing recently

4:12

is building enhance ui which is a book

4:15

for developers to learn design so i

4:17

thought i might as well keep up the

4:19

trend and create enhance ai which can be

4:22

a bunch of tools for developers to use

4:24

ai to improve their daily jobs write

4:26

blogs and stuff like that so let's

4:28

register that domain name as well now

Creating a logo

4:30

that we've got this done we can look at

4:32

the hardest part of creating any sas

4:35

product as a developer and that is to

4:38

create the logo

4:40

now for a logo it's gonna have to be

4:42

something amazing when people look at

4:44

this logo it has to have the

4:46

representation of developers and tools

4:48

and open ai and all of that so what i

4:50

did was put some circles and squares

4:52

together and here's the logo next up we

Designing a landing page in figma

4:54

need to create a landing page so that

4:56

when people have a look at this product

4:58

they're more inclined to try it out and

5:00

even purchase it to do this i'm going to

5:02

jump onto figma and we're going to

5:04

create a design based off the logo what

5:06

i want to do is pull in some of those

5:08

colors from the logo some of those

5:09

shapes like the squares and the circles

5:12

and i want to create a design that sort

5:14

of gives people an idea of how the tool

5:17

works so i might center it with a nice

5:20

box and give them an example of how

5:21

maybe you can explain code and what it's

5:24

doing as well as have lots of call to

5:26

actions for people to sign up this is

5:28

the design i sort of came up with it's

5:30

nothing too fancy and i'll probably

5:32

continue to play around with it but at

5:33

least it's up and running so the next

5:35

thing we have to do is actually code it

5:37

so i'm gonna code it in just some basic

5:39

html and css so let's try and do that

Coding the website

5:41

right now so i opened up vs code

5:44

installed tailwind css and started

5:46

coding it all from my figment design and

5:48

in no time i was done i don't often have

5:50

nightmares but last night i had a

5:52

nightmare that i'm gonna have to write

5:54

out every single individual line of code

5:57

for this sass now that's sometimes an

6:00

interesting take as a developer because

6:01

you enjoy coding sometimes it's just too

6:04

much so i'm gonna try and use a page

6:07

builder and please don't judge me when i

6:09

say this i'm gonna use webflow i'm gonna

6:11

see if it can redesign some of these

6:13

tailwind designs inside there and if it

6:16

takes me as long or quicker just as a

6:18

test and if in this case it's easier i

6:22

might just swap the whole landing page

6:24

to webflow and then when we actually

6:26

build the app i'll then definitely build

6:28

that on react but for the landing page

6:31

it's gonna be changed all the time and i

6:33

just think that react might be overkill

6:35

to build this thing now it's time to

Frontend and Backend design

6:37

build the front end and the back end the

6:40

best parts let's work with the front end

6:42

to start off with let's use create react

6:45

app for that and i'll just start

6:46

building that and at the same time i

6:48

also need a backend to do even basic

6:51

stuff like logins so let's use our

6:53

favorite node express and i might

6:56

use the cloud version of just

6:59

because later i want to make sure that

7:01

it persists if i'm going to scale it but

7:04

it's a traditional round for building

7:06

any sas so let's just get started with

Taking Payment with Stripe

7:08

that next we'll need a payment processor

7:11

like for example e-way or paypal or even

7:14

stripe because you do not want to store

7:16

credit card information yourself so i

7:18

decided to go with stripe because

7:19

they're a popular one and i do want to

7:21

do subscriptions so that should be easy

7:24

to set up

7:25

it wasn't easy to set up but now that

7:27

it's done then it's all working and

7:29

every time someone jumps in they can do

7:31

a free trial to test out the product

7:33

before they fully sign up and commit

7:35

which is something you want to do

7:37

because no one wants to purchase

7:38

something immediately without actually

7:40

trying it out these days next we need a

VPS setup with Linux Server

7:42

place to host this entire system both

7:44

the front end and the back end because

7:46

it's not going to host itself so we're

7:48

going to do that on today's sponsor

7:50

which is lenode lenode is a place where

7:52

you can get dedicated or shared vpss or

7:55

domain names or firewalls or anything in

7:57

between even storage so what i'm going

7:59

to do is connect up our new domain name

8:02

enhance ai to lenode and then i'm also

8:04

going to create a vps on linux and start

8:07

that up with a firewall and a couple of

8:09

other things and get the whole system

8:11

running on there then we're going to

8:12

test out to make sure it works so let's

8:14

do that right now you can check out

8:16

lenode in the description below and you

8:18

can use my coupon to get a 100 voucher

8:20

as well if you sign up okay it's done

Launching it!

8:23

and ready to be launched so let's do

8:26

that right now it's in the link in the

8:29

description below and here's what it can

8:31

do once you log in you get a number of

Enhance AI Review

8:34

tools such as things like interpret code

8:36

which can explain different code

8:38

segments for you based of what the

8:40

syntax is or fixed code which does

8:42

something similar but this case debugs

8:44

your code and fixes up the errors that

8:46

might be there there's also commands

8:49

like if you're looking for a bash

8:50

command or a hyper terminal command it

8:52

just gives you what you're looking for

8:54

the clean code tool basically takes a

8:57

big lot of code and fixes up to almost a

9:00

single line nice and simple

9:02

we also have convert code which can take

9:04

code for say react or vu and then

9:07

converted to a different type of

9:08

language or framework we have natural

9:11

language to regex which is one of my

9:12

favorites and even a tool here to fix

9:15

your grammar if you're writing out

9:17

different content or emails just to make

9:19

it sound proper there are a whole lot of

9:21

natural language options here like

9:23

rephrasing a sentence to be more excited

9:25

or for example even trying to shorten a

9:28

long paragraph that just might be a

9:29

little bit too long to read down to

9:31

maybe a single sentence of course you

9:34

can do the opposite too if you need to

9:36

extend out a paragraph that just isn't

9:38

long enough you can create a lengthened

9:41

paragraph option here where it just adds

9:43

more content to what you've already

9:44

written there are other tools here in

9:46

the section such as creating an

9:48

introduction to maybe an article you're

9:50

writing so that if you're stuck it just

9:53

gives you some support there to create

9:55

that also if you want to create an

9:57

outline for your article you can do that

10:00

too essentially creating all the main

10:02

high-level key points you should talk

10:04

about based on the article description

10:07

there's other cool things as well like

10:09

creating a to-do list from maybe an

10:11

email or a piece of text or even

10:13

creating something here like a job ad

10:16

based on some basic information you want

10:18

to provide these are really interesting

10:21

options of what ai tech can do these

10:23

days and it can be extended even further

10:26

like even trying to raise what common

10:28

questions people might ask based on some

10:30

piece of text which is a pretty cool one

10:33

since i do a lot of youtube videos i

10:34

also made a series of youtube tools here

10:36

things like generating titles for videos

10:39

or for example trying to have some good

10:41

youtube tags to attach to a video as

10:43

well all of these tools are useful for

10:46

youtubers even one here that helps you

10:48

create the script for a video if you're

10:51

trying to figure out the high level

10:52

points that you need to talk about one

10:54

of the biggest features here is going to

10:56

be called enhanced stock which will be

10:58

essentially helping you write content

11:01

based off the article or the blog you're

11:03

trying to create the ai tool can create

11:05

introductions for you can create

11:07

outlines for you and these are

11:09

automatically generated of the

11:10

information you've provided already in

11:12

this example i'm just creating an

11:14

article for jwts as well as a nice

11:16

outline to get me up and running the

11:18

high level introduction is done and if i

11:20

want i can create a secondary

11:22

introduction to get things kicked off

11:24

for the actual work itself and as soon

11:26

as i finish off a sentence or need a new

11:28

one created i can automatically use the

11:30

ai tool to generate that content for me

11:33

so it's essentially like github copilot

11:35

for code but this time for written

11:36

content


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ALL 5 STAR AI.IO PAGE STUDY

How AI and IoT are Creating An Impact On Industries Today


HELLO AND WELCOME  TO THE 


5 STAR AI.IOT TOOLS FOR YOUR BUSINESS


ARE NEW WEBSITE IS ABOUT 5 STAR AI and io’t TOOLS on the net.

We prevaid you the best

Artificial Intelligence  tools and services that can be used to create and improve BUSINESS websites AND CHANNELS .

This site is  includes tools for creating interactive visuals, animations, and videos.

 as well as tools for SEO, marketing, and web development.

 It also includes tools for creating and editing text, images, and audio. The website is intended to provide users with a comprehensive list of AI-based tools to help them create and improve their business.

https://studio.d-id.com/share?id=078f9242d5185a9494e00852e89e17f7&utm_source=copy

This website is a collection of Artificial Intelligence (AI) tools and services that can be used to create and improve websites. It includes tools for creating interactive visuals, animations, and videos, as well as tools for SEO, marketing, and web development. It also includes tools for creating and editing text, images, and audio. The website is intended to provide users with a comprehensive list of AI-based tools to help them create and improve their websites.



אתר זה הוא אוסף של כלים ושירותים של בינה מלאכותית (AI) שניתן להשתמש בהם כדי ליצור ולשפר אתרים. הוא כולל כלים ליצירת ויזואליה אינטראקטיבית, אנימציות וסרטונים, כמו גם כלים לקידום אתרים, שיווק ופיתוח אתרים. הוא כולל גם כלים ליצירה ועריכה של טקסט, תמונות ואודיו. האתר נועד לספק למשתמשים רשימה מקיפה של כלים מבוססי AI שיסייעו להם ליצור ולשפר את אתרי האינטרנט שלהם.

Hello and welcome to our new site that shares with you the most powerful web platforms and tools available on the web today

All platforms, websites and tools have artificial intelligence AI and have a 5-star rating

All platforms, websites and tools are free and Pro paid

The platforms, websites and the tool's  are the best  for growing your business in 2022/3

שלום וברוכים הבאים לאתר החדש שלנו המשתף אתכם בפלטפורמות האינטרנט והכלים החזקים ביותר הקיימים היום ברשת. כל הפלטפורמות, האתרים והכלים הם בעלי בינה מלאכותית AI ובעלי דירוג של 5 כוכבים. כל הפלטפורמות, האתרים והכלים חינמיים ומקצועיים בתשלום הפלטפורמות, האתרים והכלים באתר זה הם הטובים ביותר  והמועילים ביותר להצמחת ולהגדלת העסק שלך ב-2022/3 

A Guide for AI-Enhancing Your Existing Business Application


A guide to improving your existing business application of artificial intelligence

מדריך לשיפור היישום העסקי הקיים שלך בינה מלאכותית

What is Artificial Intelligence and how does it work? What are the 3 types of AI?

What is Artificial Intelligence and how does it work? What are the 3 types of AI? The 3 types of AI are: General AI: AI that can perform all of the intellectual tasks a human can. Currently, no form of AI can think abstractly or develop creative ideas in the same ways as humans.  Narrow AI: Narrow AI commonly includes visual recognition and natural language processing (NLP) technologies. It is a powerful tool for completing routine jobs based on common knowledge, such as playing music on demand via a voice-enabled device.  Broad AI: Broad AI typically relies on exclusive data sets associated with the business in question. It is generally considered the most useful AI category for a business. Business leaders will integrate a broad AI solution with a specific business process where enterprise-specific knowledge is required.  How can artificial intelligence be used in business? AI is providing new ways for humans to engage with machines, transitioning personnel from pure digital experiences to human-like natural interactions. This is called cognitive engagement.  AI is augmenting and improving how humans absorb and process information, often in real-time. This is called cognitive insights and knowledge management. Beyond process automation, AI is facilitating knowledge-intensive business decisions, mimicking complex human intelligence. This is called cognitive automation.  What are the different artificial intelligence technologies in business? Machine learning, deep learning, robotics, computer vision, cognitive computing, artificial general intelligence, natural language processing, and knowledge reasoning are some of the most common business applications of AI.  What is the difference between artificial intelligence and machine learning and deep learning? Artificial intelligence (AI) applies advanced analysis and logic-based techniques, including machine learning, to interpret events, support and automate decisions, and take actions.  Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.  Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled.  What are the current and future capabilities of artificial intelligence? Current capabilities of AI include examples such as personal assistants (Siri, Alexa, Google Home), smart cars (Tesla), behavioral adaptation to improve the emotional intelligence of customer support representatives, using machine learning and predictive algorithms to improve the customer’s experience, transactional AI like that of Amazon, personalized content recommendations (Netflix), voice control, and learning thermostats.  Future capabilities of AI might probably include fully autonomous cars, precision farming, future air traffic controllers, future classrooms with ambient informatics, urban systems, smart cities and so on.  To know more about the scope of artificial intelligence in your business, please connect with our expert.

מהי בינה מלאכותית וכיצד היא פועלת? מהם 3 סוגי הבינה המלאכותית?

מהי בינה מלאכותית וכיצד היא פועלת? מהם 3 סוגי הבינה המלאכותית? שלושת סוגי הבינה המלאכותית הם: בינה מלאכותית כללית: בינה מלאכותית שיכולה לבצע את כל המשימות האינטלקטואליות שאדם יכול. נכון לעכשיו, שום צורה של AI לא יכולה לחשוב בצורה מופשטת או לפתח רעיונות יצירתיים באותן דרכים כמו בני אדם. בינה מלאכותית צרה: בינה מלאכותית צרה כוללת בדרך כלל טכנולוגיות זיהוי חזותי ועיבוד שפה טבעית (NLP). זהו כלי רב עוצמה להשלמת עבודות שגרתיות המבוססות על ידע נפוץ, כגון השמעת מוזיקה לפי דרישה באמצעות מכשיר התומך בקול. בינה מלאכותית רחבה: בינה מלאכותית רחבה מסתמכת בדרך כלל על מערכי נתונים בלעדיים הקשורים לעסק המדובר. זה נחשב בדרך כלל לקטגוריית הבינה המלאכותית השימושית ביותר עבור עסק. מנהיגים עסקיים ישלבו פתרון AI רחב עם תהליך עסקי ספציפי שבו נדרש ידע ספציפי לארגון. כיצד ניתן להשתמש בבינה מלאכותית בעסק? AI מספקת דרכים חדשות לבני אדם לעסוק במכונות, ומעבירה את הצוות מחוויות דיגיטליות טהורות לאינטראקציות טבעיות דמויות אדם. זה נקרא מעורבות קוגניטיבית. בינה מלאכותית מגדילה ומשפרת את האופן שבו בני אדם קולטים ומעבדים מידע, לעתים קרובות בזמן אמת. זה נקרא תובנות קוגניטיביות וניהול ידע. מעבר לאוטומציה של תהליכים, AI מאפשר החלטות עסקיות עתירות ידע, תוך חיקוי אינטליגנציה אנושית מורכבת. זה נקרא אוטומציה קוגניטיבית. מהן טכנולוגיות הבינה המלאכותית השונות בעסק? למידת מכונה, למידה עמוקה, רובוטיקה, ראייה ממוחשבת, מחשוב קוגניטיבי, בינה כללית מלאכותית, עיבוד שפה טבעית וחשיבת ידע הם חלק מהיישומים העסקיים הנפוצים ביותר של AI. מה ההבדל בין בינה מלאכותית ולמידת מכונה ולמידה עמוקה? בינה מלאכותית (AI) מיישמת ניתוח מתקדמות וטכניקות מבוססות לוגיקה, כולל למידת מכונה, כדי לפרש אירועים, לתמוך ולהפוך החלטות לאוטומטיות ולנקוט פעולות. למידת מכונה היא יישום של בינה מלאכותית (AI) המספק למערכות את היכולת ללמוד ולהשתפר מניסיון באופן אוטומטי מבלי להיות מתוכנתים במפורש. למידה עמוקה היא תת-קבוצה של למידת מכונה בבינה מלאכותית (AI) שיש לה רשתות המסוגלות ללמוד ללא פיקוח מנתונים שאינם מובנים או ללא תווית. מהן היכולות הנוכחיות והעתידיות של בינה מלאכותית? היכולות הנוכחיות של AI כוללות דוגמאות כמו עוזרים אישיים (Siri, Alexa, Google Home), מכוניות חכמות (Tesla), התאמה התנהגותית לשיפור האינטליגנציה הרגשית של נציגי תמיכת לקוחות, שימוש בלמידת מכונה ואלגוריתמים חזויים כדי לשפר את חווית הלקוח, עסקאות בינה מלאכותית כמו זו של אמזון, המלצות תוכן מותאמות אישית (Netflix), שליטה קולית ותרמוסטטים ללמידה. יכולות עתידיות של AI עשויות לכלול כנראה מכוניות אוטונומיות מלאות, חקלאות מדויקת, בקרי תעבורה אוויריים עתידיים, כיתות עתידיות עם אינפורמטיקה סביבתית, מערכות עירוניות, ערים חכמות וכן הלאה. כדי לדעת יותר על היקף הבינה המלאכותית בעסק שלך, אנא צור קשר עם המומחה שלנו.

Glossary of Terms


Application Programming Interface(API):

An API, or application programming interface, is a set of rules and protocols that allows different software programs to communicate and exchange information with each other. It acts as a kind of intermediary, enabling different programs to interact and work together, even if they are not built using the same programming languages or technologies. API's provide a way for different software programs to talk to each other and share data, helping to create a more interconnected and seamless user experience.

Artificial Intelligence(AI):

the intelligence displayed by machines in performing tasks that typically require human intelligence, such as learning, problem-solving, decision-making, and language understanding. AI is achieved by developing algorithms and systems that can process, analyze, and understand large amounts of data and make decisions based on that data.

Compute Unified Device Architecture(CUDA):

CUDA is a way that computers can work on really hard and big problems by breaking them down into smaller pieces and solving them all at the same time. It helps the computer work faster and better by using special parts inside it called GPUs. It's like when you have lots of friends help you do a puzzle - it goes much faster than if you try to do it all by yourself.

The term "CUDA" is a trademark of NVIDIA Corporation, which developed and popularized the technology.

Data Processing:

The process of preparing raw data for use in a machine learning model, including tasks such as cleaning, transforming, and normalizing the data.

Deep Learning(DL):

A subfield of machine learning that uses deep neural networks with many layers to learn complex patterns from data.

Feature Engineering:

The process of selecting and creating new features from the raw data that can be used to improve the performance of a machine learning model.

Freemium:

You might see the term "Freemium" used often on this site. It simply means that the specific tool that you're looking at has both free and paid options. Typically there is very minimal, but unlimited, usage of the tool at a free tier with more access and features introduced in paid tiers.

Generative Art:

Generative art is a form of art that is created using a computer program or algorithm to generate visual or audio output. It often involves the use of randomness or mathematical rules to create unique, unpredictable, and sometimes chaotic results.

Generative Pre-trained Transformer(GPT):

GPT stands for Generative Pretrained Transformer. It is a type of large language model developed by OpenAI.

GitHub:

GitHub is a platform for hosting and collaborating on software projects


Google Colab:

Google Colab is an online platform that allows users to share and run Python scripts in the cloud

Graphics Processing Unit(GPU):

A GPU, or graphics processing unit, is a special type of computer chip that is designed to handle the complex calculations needed to display images and video on a computer or other device. It's like the brain of your computer's graphics system, and it's really good at doing lots of math really fast. GPUs are used in many different types of devices, including computers, phones, and gaming consoles. They are especially useful for tasks that require a lot of processing power, like playing video games, rendering 3D graphics, or running machine learning algorithms.

Large Language Model(LLM):

A type of machine learning model that is trained on a very large amount of text data and is able to generate natural-sounding text.

Machine Learning(ML):

A method of teaching computers to learn from data, without being explicitly programmed.

Natural Language Processing(NLP):

A subfield of AI that focuses on teaching machines to understand, process, and generate human language

Neural Networks:

A type of machine learning algorithm modeled on the structure and function of the brain.

Neural Radiance Fields(NeRF):

Neural Radiance Fields are a type of deep learning model that can be used for a variety of tasks, including image generation, object detection, and segmentation. NeRFs are inspired by the idea of using a neural network to model the radiance of an image, which is a measure of the amount of light that is emitted or reflected by an object.

OpenAI:

OpenAI is a research institute focused on developing and promoting artificial intelligence technologies that are safe, transparent, and beneficial to society

Overfitting:

A common problem in machine learning, in which the model performs well on the training data but poorly on new, unseen data. It occurs when the model is too complex and has learned too many details from the training data, so it doesn't generalize well.

Prompt:

A prompt is a piece of text that is used to prime a large language model and guide its generation

Python:

Python is a popular, high-level programming language known for its simplicity, readability, and flexibility (many AI tools use it)

Reinforcement Learning:

A type of machine learning in which the model learns by trial and error, receiving rewards or punishments for its actions and adjusting its behavior accordingly.

Spatial Computing:

Spatial computing is the use of technology to add digital information and experiences to the physical world. This can include things like augmented reality, where digital information is added to what you see in the real world, or virtual reality, where you can fully immerse yourself in a digital environment. It has many different uses, such as in education, entertainment, and design, and can change how we interact with the world and with each other.

Stable Diffusion:

Stable Diffusion generates complex artistic images based on text prompts. It’s an open source image synthesis AI model available to everyone. Stable Diffusion can be installed locally using code found on GitHub or there are several online user interfaces that also leverage Stable Diffusion models.

Supervised Learning:

A type of machine learning in which the training data is labeled and the model is trained to make predictions based on the relationships between the input data and the corresponding labels.

Unsupervised Learning:

A type of machine learning in which the training data is not labeled, and the model is trained to find patterns and relationships in the data on its own.

Webhook:

A webhook is a way for one computer program to send a message or data to another program over the internet in real-time. It works by sending the message or data to a specific URL, which belongs to the other program. Webhooks are often used to automate processes and make it easier for different programs to communicate and work together. They are a useful tool for developers who want to build custom applications or create integrations between different software systems.


מילון מונחים


ממשק תכנות יישומים (API): API, או ממשק תכנות יישומים, הוא קבוצה של כללים ופרוטוקולים המאפשרים לתוכנות שונות לתקשר ולהחליף מידע ביניהן. הוא פועל כמעין מתווך, המאפשר לתוכניות שונות לקיים אינטראקציה ולעבוד יחד, גם אם הן אינן בנויות באמצעות אותן שפות תכנות או טכנולוגיות. ממשקי API מספקים דרך לתוכנות שונות לדבר ביניהן ולשתף נתונים, ועוזרות ליצור חווית משתמש מקושרת יותר וחלקה יותר. בינה מלאכותית (AI): האינטליגנציה שמוצגת על ידי מכונות בביצוע משימות הדורשות בדרך כלל אינטליגנציה אנושית, כגון למידה, פתרון בעיות, קבלת החלטות והבנת שפה. AI מושגת על ידי פיתוח אלגוריתמים ומערכות שיכולים לעבד, לנתח ולהבין כמויות גדולות של נתונים ולקבל החלטות על סמך הנתונים הללו. Compute Unified Device Architecture (CUDA): CUDA היא דרך שבה מחשבים יכולים לעבוד על בעיות קשות וגדולות באמת על ידי פירוקן לחתיכות קטנות יותר ופתרון כולן בו זמנית. זה עוזר למחשב לעבוד מהר יותר וטוב יותר על ידי שימוש בחלקים מיוחדים בתוכו הנקראים GPUs. זה כמו כשיש לך הרבה חברים שעוזרים לך לעשות פאזל - זה הולך הרבה יותר מהר מאשר אם אתה מנסה לעשות את זה לבד. המונח "CUDA" הוא סימן מסחרי של NVIDIA Corporation, אשר פיתחה והפכה את הטכנולוגיה לפופולרית. עיבוד נתונים: תהליך הכנת נתונים גולמיים לשימוש במודל למידת מכונה, כולל משימות כמו ניקוי, שינוי ונימול של הנתונים. למידה עמוקה (DL): תת-תחום של למידת מכונה המשתמש ברשתות עצביות עמוקות עם רבדים רבים כדי ללמוד דפוסים מורכבים מנתונים. הנדסת תכונות: תהליך הבחירה והיצירה של תכונות חדשות מהנתונים הגולמיים שניתן להשתמש בהם כדי לשפר את הביצועים של מודל למידת מכונה. Freemium: ייתכן שתראה את המונח "Freemium" בשימוש לעתים קרובות באתר זה. זה פשוט אומר שלכלי הספציפי שאתה מסתכל עליו יש אפשרויות חינמיות וגם בתשלום. בדרך כלל יש שימוש מינימלי מאוד, אך בלתי מוגבל, בכלי בשכבה חינמית עם יותר גישה ותכונות שהוצגו בשכבות בתשלום. אמנות גנרטיבית: אמנות גנרטיבית היא צורה של אמנות שנוצרת באמצעות תוכנת מחשב או אלגוריתם ליצירת פלט חזותי או אודיו. לרוב זה כרוך בשימוש באקראיות או בכללים מתמטיים כדי ליצור תוצאות ייחודיות, בלתי צפויות ולעיתים כאוטיות. Generative Pre-trained Transformer(GPT): GPT ראשי תיבות של Generative Pre-trained Transformer. זהו סוג של מודל שפה גדול שפותח על ידי OpenAI. GitHub: GitHub היא פלטפורמה לאירוח ושיתוף פעולה בפרויקטי תוכנה

Google Colab: Google Colab היא פלטפורמה מקוונת המאפשרת למשתמשים לשתף ולהריץ סקריפטים של Python בענן Graphics Processing Unit(GPU): GPU, או יחידת עיבוד גרפית, הוא סוג מיוחד של שבב מחשב שנועד להתמודד עם המורכבות חישובים הדרושים להצגת תמונות ווידאו במחשב או במכשיר אחר. זה כמו המוח של המערכת הגרפית של המחשב שלך, והוא ממש טוב לעשות הרבה מתמטיקה ממש מהר. GPUs משמשים סוגים רבים ושונים של מכשירים, כולל מחשבים, טלפונים וקונסולות משחקים. הם שימושיים במיוחד למשימות הדורשות כוח עיבוד רב, כמו משחקי וידאו, עיבוד גרפיקה תלת-ממדית או הפעלת אלגוריתמים של למידת מכונה. מודל שפה גדול (LLM): סוג של מודל למידת מכונה שאומן על כמות גדולה מאוד של נתוני טקסט ומסוגל ליצור טקסט בעל צליל טבעי. Machine Learning (ML): שיטה ללמד מחשבים ללמוד מנתונים, מבלי להיות מתוכנתים במפורש. עיבוד שפה טבעית (NLP): תת-תחום של AI המתמקד בהוראת מכונות להבין, לעבד וליצור שפה אנושית רשתות עצביות: סוג של אלגוריתם למידת מכונה המבוססת על המבנה והתפקוד של המוח. שדות קרינה עצביים (NeRF): שדות קרינה עצביים הם סוג של מודל למידה עמוקה שיכול לשמש למגוון משימות, כולל יצירת תמונה, זיהוי אובייקטים ופילוח. NeRFs שואבים השראה מהרעיון של שימוש ברשת עצבית למודל של זוהר תמונה, שהוא מדד לכמות האור שנפלט או מוחזר על ידי אובייקט. OpenAI: OpenAI הוא מכון מחקר המתמקד בפיתוח וקידום טכנולוגיות בינה מלאכותית שהן בטוחות, שקופות ומועילות לחברה. Overfitting: בעיה נפוצה בלמידת מכונה, שבה המודל מתפקד היטב בנתוני האימון אך גרועים בחדשים, בלתי נראים. נתונים. זה מתרחש כאשר המודל מורכב מדי ולמד יותר מדי פרטים מנתוני האימון, כך שהוא לא מכליל היטב. הנחיה: הנחיה היא פיסת טקסט המשמשת לתכנון מודל שפה גדול ולהנחות את הדור שלו Python: Python היא שפת תכנות פופולרית ברמה גבוהה הידועה בפשטות, בקריאות ובגמישות שלה (כלי AI רבים משתמשים בה) למידת חיזוק: סוג של למידת מכונה שבה המודל לומד על ידי ניסוי וטעייה, מקבל תגמולים או עונשים על מעשיו ומתאים את התנהגותו בהתאם. מחשוב מרחבי: מחשוב מרחבי הוא השימוש בטכנולוגיה כדי להוסיף מידע וחוויות דיגיטליות לעולם הפיזי. זה יכול לכלול דברים כמו מציאות רבודה, שבה מידע דיגיטלי מתווסף למה שאתה רואה בעולם האמיתי, או מציאות מדומה, שבה אתה יכול לשקוע במלואו בסביבה דיגיטלית. יש לו שימושים רבים ושונים, כמו בחינוך, בידור ועיצוב, והוא יכול לשנות את האופן שבו אנו מתקשרים עם העולם ואחד עם השני. דיפוזיה יציבה: דיפוזיה יציבה מייצרת תמונות אמנותיות מורכבות המבוססות על הנחיות טקסט. זהו מודל AI של סינתזת תמונות בקוד פתוח הזמין לכולם. ניתן להתקין את ה-Stable Diffusion באופן מקומי באמצעות קוד שנמצא ב-GitHub או שישנם מספר ממשקי משתמש מקוונים הממנפים גם מודלים של Stable Diffusion. למידה מפוקחת: סוג של למידת מכונה שבה נתוני האימון מסומנים והמודל מאומן לבצע תחזיות על סמך היחסים בין נתוני הקלט והתוויות המתאימות. למידה ללא פיקוח: סוג של למידת מכונה שבה נתוני האימון אינם מסומנים, והמודל מאומן למצוא דפוסים ויחסים בנתונים בעצמו. Webhook: Webhook הוא דרך של תוכנת מחשב אחת לשלוח הודעה או נתונים לתוכנית אחרת דרך האינטרנט בזמן אמת. זה עובד על ידי שליחת ההודעה או הנתונים לכתובת URL ספציפית, השייכת לתוכנית האחרת. Webhooks משמשים לעתים קרובות כדי להפוך תהליכים לאוטומטיים ולהקל על תוכניות שונות לתקשר ולעבוד יחד. הם כלי שימושי למפתחים שרוצים לבנות יישומים מותאמים אישית או ליצור אינטגרציות בין מערכות תוכנה שונות.

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