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YABALLE AUTOMATIC NON-API SYSTEM OVERVIEW


YABALLE AUTOMATIC NON-API SYSTEM OVERVIEW


TRANSCRIPT

PART - 1 

0:00

video is going to be a short overview about yabale automated non-api so first

0:06

why use automated non-api because it can solve you to it can help you to solve

0:13

the flagged accounts issue on eBay so basically how because it helps you to

0:20

easily raise your eBay limits it provides you high listings it

0:26

provides High exposure to your listings minimizes the chances for your eBay

0:31

account suspension and provides you higher sales volume in eBay

0:37

so um I really want this overview to be to cover uh all the small things you

0:45

need to keep in mind while setting a MIP account and using it so I'm not going to

0:51

show you everything in details but I am going to mention the most important things and also where you can find

0:57

articles for further information more detailed information about each of them

1:02

so um assuming that you have already created a Yaba user

1:10

I click login into my existing user so basically after you created your user

1:17

and you have chosen the automated non-api button it will take you to a place where you

1:24

have to put your um inside your new account um a place where you need to update your

1:31

Meep details and this place looks like this it's in settings advanced advanced

1:37

account changes uh change details it's a pop-up window like this so

1:44

basically we tried to to put the all the required links inside to to guide you

1:51

further um so the the most important details we need to set your account as a automated

Setting up the account - important details

1:58

non-api are these are the eBay user ID the MIP token and the three policies

2:04

names so where do you take them you have it here you can simply click this link

FTP setup - generate your token

2:10

and it will take you to eBay MIP Center the place from where which you take the

2:16

the actual data is in specifically in settings so the first one we are going

2:22

to need is the settings FTP setup this is where you generate your map token you

2:28

click this button and then select the select all and then this is what you are

2:33

going to paste in here and uh also you have your eBay store

2:39

name here eBay username and the next thing are your policies they are in

Setting eBay policies

2:46

settings Channel management you need to click each and you see this is for shipping this is payment this is for

2:52

returns you need to click each and every one of them like this and copy their

2:58

names okay so I basically I copy this and I put it in my shipping policy and

3:03

the same for payment and the same for my returns policy remember to also click

3:09

the where click and click and update your warehouse location this is very important and it also interacts with our

Setting warehouse location

3:20

tracking option of converting your Amazon tracking into something called

3:26

aquiline which allows you to set the same ship from address on all your tracking this

3:35

is also part of the features which allow align with eBay

3:41

demands to work with one warehouse and it's part of what is helping you to

3:48

achieve all the um advantages of the use of automated

3:54

non-api so remember to to fill this in also you

4:00

will not be able to list listings if one of these details is not filled in okay

4:05

so now once all the data is inside of course you click update and you are

4:12

ready to go the next step would be to normally to to go to the Lister and list

4:18

your first listing to see that the the connection the the MIP token is correct and the policies names are correct but

Account settings

4:26

before the very first time it's important to go over the settings and

4:31

make sure that they are uh what you actually want to work with

4:36

usually on a new account you always have some default settings so you just need to open them and see if that's in fact

4:45

what you want to work with so um we have a lot of tabs of settings not all of them are as important as the others and

4:52

I'm going to mention the most important ones so settings General is one of them

4:57

of course it's the first one here you have your profit and break even settings you can work with profit in dollars as

5:05

well as with profit in percent together they if you use both they are added one

5:11

to the other or you can just use one and put zero in the other this is the quantity with which your eBay items are

5:17

going to be listed and here you have the default break even for all the possible

5:24

sources labels this is a more less used feature and here you have a few

5:30

important features such as what the you want the ability to do in case the item

5:36

is not in stock in your source for example in Amazon so normally you would like us to change the quantity to zero

5:42

in eBay here you can check the option of add adding shipping cost to Amazon

5:48

sourced items in case you are going to order them from Amazon accounts which

5:54

are not Prime so this way you will not lose money on on your orders

6:01

and this one normally you would like it not checked like this and this is only

6:08

if you have like really big discounts and Special coupons which allow you to

6:14

sell in eBay for the same price as in Amazon or maybe even less

6:20

okay next one would be so the eBay policies basically is the second tab but

6:25

you do not need to touch it because it's going to show what you have inserted in

6:32

your MIP details earlier so you can just open it to make sure that the names of the policies you see here are are in

6:39

fact the names of the policies you are using this is like a sort of a test that

6:44

your policy names are in fact updated correctly but if you want to add them you need to go back to settings Advanced

6:51

here where we have already been previously um another one another important one is

6:59

your item location so this item location is what's going to be written inside

7:04

each of your listings in eBay and it also has to be the same place you

7:12

put in your warehouse location the the one we just saw earlier here okay

7:19

um all right next filters filters basically

7:24

uh this is the core of the monitor this these are the glasses through which the

7:29

monitor is looking at all the items on the source website and through which it

7:38

decides what should be in stock or out of stock on specifically your account

7:45

so for Amazon we have seller shipping shipping time seller feedback in percents and seller

7:54

count seller feedback count FBA or not

8:00

and allow add-ons or not and here you have AliExpress and some

8:05

Walmart filters and also some open box filters which are basically the same all

8:12

the others just have a break even they are not they do not require

8:19

such Advanced filters as the ones which you can see here templates

Templates at Automated Non Api

8:25

so for templates specifically in MIP at the moment all your listings are

8:31

actually not going to be listed with a template but you'll just see plain text in description but it is important that

8:38

you make sure that you have for example this template chosen as a

8:44

default in templates settings in order for all the process of the of creating new listings to succeed

8:52

accounts this is only if you have more than one eBay account and you want to

Multiple eBay accounts

8:57

link them under one same yellow subscription so once you have created both of them you can buy

9:05

subscription just on one of them and from within the account with the subscription you can click link yeah by

9:12

the account and link your second account remember that both of them need to to

9:17

exist before you do this and both of them need to be of the same type meaning either both of them are API or both of

9:26

them are non-api um and here you have this feature of allow item duplications between accounts

9:33

so basically if the accounts use separated IP and eBay does not know that

9:39

they are linked or belong to the same person then you can list the same asins on both of them and so you you would

9:46

like to allow item duplication um here you can give access to a VA

Giving access to Va's

9:54

again we have um as I already mentioned we have detailed articles about each of these

More information - Help center

10:01

tabs all can be found in our help center

10:06

um it's not opening sorry the because this is not a regular user but our help

10:14

center actually has a lot of Articles and of course you can search by keywords

10:19

and if you do not manage to find the articles by yourself you always can

10:25

click the support button and actually even search

10:30

for the Articles like this you see it suggests to all the articles

10:35

with this word but if it's difficult or you did not manage to find then you

10:41

click the blue button and it basically skips this stage and takes you to open a

10:48

ticket which will go to a live to a human agent who will be able to help you

10:55

further it's a bit loading slowly for some reason so let's not keep you waiting let's continue so

11:04

we were on settings accounts and now we are going back to um Auto or there's let's keep it let's

11:11

mention it in the end auto rules you have some Advanced Auto rules of uh

Set profit and Breakeven

11:18

for subscriptions of a particular size this is not open for the cheaper

11:23

subscriptions but only for the more advanced so this Auto rule is allowing

11:29

you to set different break-even and profit settings for items

11:35

of different Source prices and you can just add let me close this

11:42

you can just add for example I want my 0 to 10 items

11:47

to be one break even and profits and

11:54

then I want my

12:01

expensive items to have different profit and so on okay

12:08

this for example okay um advanced here we have a very important feature

Vero

12:14

about zero zero and words filters so the

12:19

recommended settings are to to check the first two checkboxes the brand

12:25

and the title and here you can put a list of words in which you want Yaba the

12:32

list there to look at every time you list new items and um you have two

12:37

options of how we can treat this this list either you want us to warn you on

12:43

the auto Lister meaning when you list one by one and you actually see the listing before you hit list it why you

12:50

want us to remove these words automatically without showing them to you both on the auto Lister where you

12:57

can see it and on the bulk list there where basically you just send a list of

13:04

items to be listed and you are not present you're not looking at the

13:09

process why it happens here you have another nice feature of add brain brand

13:15

names towards filter what does it mean um in Amazon they always have the brand

13:22

names like in this case chaps added to each title so if you check this this

13:30

feature it will remove it it will treat the word Chaps in this case as as if it

13:36

was part of this list and it will automatically either warn you on auto Lister that this word is present there

13:43

or remove it from the title and also from from item

13:48

description pay attention that it does not remove it from the item specific brand okay it

13:55

only removes it from the title and the description but still it's nice

14:01

specifically in the title because it saves you um save a few symbols in the title which

14:07

is already limited to 80. okay a affiliate is an area you only need if

14:14

you want to be yeah affiliate and ordering is for later so

14:20

now we are going to the Lister basically we are ready to list how does it work this is the auto Lister where you can

Lister

14:27

list one by one so you can simply put an Asin here or the whole link this is

14:34

called an Asin the item identification number in Amazon and you

14:41

simply put it here and click get item option b you can select the whole URL of

14:47

this item and and put it here the same same way and click get item

14:55

uh um and so now yabale has imported what it can into itself about this item uh

15:04

specifically on automated non-api no it's not please do not touch this area

15:10

because we are going to copy the tech this text anyway directly from the source that's how it's working in

15:18

automated non-api but you can add more item specifics if you here if you wish

15:23

and um the category is already

15:29

pre-chosen basically here you can also see what will be the item

15:36

price in eBay based on your on the settings you have set earlier and when

15:41

you are ready of course you can edit the title sorry I skipped that part because this title was short in case something

15:48

is wrong or you have zero it will be colored in red and for example if I

15:53

would have my title was too long it would have been shown in red like this

15:59

so once everything is okay and no red you click list item using MIP

16:06

and then you receive a notification like this it says listing success but

16:12

basically it means that you succeeded to send it from yabilit to eBay it does not yet mean that it will necessarily

16:19

succeed in eBay so you still need to to wait a bit

16:24

um this bit in case of automated non-api is specifically at least 30 minutes

16:31

normally for the autolister it does in fact take 30 minutes but for the bulk

16:37

Lister it could take a 30 minutes multiplied sometimes by a few times due

16:44

to a specific procedure of filling up sometimes missing item

16:49

specifics because eBay sometimes asks us to fill up the they say hey

16:56

specifically for this category we need this item specific so then we we fill it up and then we push your Asin again so

17:03

it takes more rounds of 30 minutes but in general the connection

17:08

the communication with the eBay map is always happening taking 30 minutes this

17:15

is the frequency of how often eBay look at the MIP folder

17:21

um and how often they take the data we have put there and how often they on

17:26

their side update the data in there if it's orders for example so you click OK and You Begin waiting

17:33

basically because it's not pleasant to wait um it is advised uh I believe

17:40

um to if the account is big enough you can use the bulk Lister and so you can just put

Bulk lister

17:46

a few asins like this one underneath the other in

17:52

your ball cluster and um I suggest you always take this option

17:58

to prevent this thing out of stock items because they will just take place on your account for nothing

18:04

because they will not be in stock so you check this checkbox and you click list

18:10

item add items if you want if you have [Music] um

18:15

your own titles which you maybe took from a market research program you you

18:21

can paste them like this with a comma Dot

18:27

and your title sorry


PART - 2 

18:33

title like this okay for all of them

18:40

like this and then you click list items you can you also have another option to

18:47

click to put your essence and titles or just your essence in a CSV file and then

18:54

upload this file from from this button you do as as is also about all the

19:01

settings we already mentioned there is a separated guide about both autolister and Meep bulk Lister

19:09

which you can find in The Help Center or if you contact our support drafts it exists but um

19:18

personally I don't really like the drafts because its main disadvantage is that it freezes

19:25

the moment in time where you just created it it means that if you have since updated

19:30

your for example policies or something has dramatically changed in Amazon in

19:36

the item description yeah but they will not know it it will keep what has been

19:41

there at the moment you created the draft um so it is uh for you up to you to

19:49

decide unsynced eBay listings this um this page is actually important just for

Unsynced eBay listings

19:56

the first Connection in case you had these things on the day when you first linked your account to yabole automated

20:04

known API uh it is important just to go here and make sure that you don't have

20:10

some something here which you know that you want to be monitored

20:17

if you do please contact our support we suggest the the general suggestion is to

20:23

delete those listings because it's less hassle um for you specifically but

20:30

um especially if it's not a lot if it is a lot and this is the the the the core of your store uh please contact us and

20:38

there are sometimes specific specific conditions under which we might be able

20:46

to sync your existing listings it depends how they were created and um

20:54

um basically if you remember that if if you do have existing listings you want to

20:59

migrate to yabale please do not list new listings with yabate automated non-api

21:06

before we help you to sync the existing ones okay this is very important

21:11

actually all right so we used the Lister and we

21:17

said that that you need to wait in the auto list at least 30 minutes in the bulk list there could be between two and

21:24

a half hours and maybe even three okay so just know it and I don't know go work

21:30

on another account do something else no need you know just to sit in and and refresh the page all the time once it's

21:38

ready it will happen and you'll see it on your monitor page for example these

21:43

listings I listed a little more than 30 minutes ago

21:49

and they appeared here so now let's talk about the monitor page and what can you

21:55

do here you can edit existing listings of course the monitor is checking the prices all the time each 30 minutes

Monitor

22:02

through the glasses of the filters of the settings filters we mentioned before

22:09

um if you want to change the profit and break even for existing listings this is the only place you can do it

22:14

specifically on your monitor page you need to select these listings you want to change either like this one by one or

22:22

with the checkbox on top of the page it allows you to select the whole page or all pages I just have two items right

22:28

now so it's easy and only once something is selected the bulk operations button

22:34

will be turned on so you can click on it and we'll be active

22:39

um you must put um the the target numbers which you want

22:45

to see here okay so for example if I want to change and and you only need to put the numbers in

22:52

which you want to make some change all the others will be taken from what

22:58

you currently have okay so for example if I only want to change my break even from 18 to 19 I just

23:06

write 19 here and I click apply

23:13

and then again I wait 30 minutes every change every action in automated known

23:19

API takes 30 minutes to to be sent to eBay okay

23:25

like this so that's the monitor page now let's talk about or how to process orders

23:35

so all your orders are synced from eBay into the sold items page

Sold item

23:42

the default preview is only showing you orders which are not shipped yet not

23:48

shipped in terms of the monitor means orders without a tracking number okay

23:54

um so on this account I don't have orders without a tracking number so I'll click filters to

24:00

to show also my shifts old orders just so we can see what we are talking about

24:07

ah sorry sorry on this account there were no orders in fact

24:13

um all right um okay so let me just speak in general basically you have a few options of

24:20

processing your orders either you do it manually

24:25

um meaning that you need to have your own Amazon account you log into your

24:30

Amazon account and place your order and

24:37

um yeah I'm sorry

24:43

it's not so good that I don't have an example here but anyway um

24:48

here in the auto orders that was a column you will have um the you will have the names of the

24:56

current status of your order so all the new orders they will be in pending status if you want to process your

25:03

orders manually always remember to to click on this word on the word pending or sometimes it will be processing and

25:10

you will see the option of exclude so click it and then only then process your

25:16

order order manually once you did it put your order ID from Amazon in here on

25:22

this column in this column in the order ID column and you can also leave a note

25:27

for yourself you'll see that if you click it will open up for editing and you'll

25:34

be able to write inside it um so this is option number one option number

25:41

two is to use a automatic orders from your own Amazon accounts option number

25:47

three is is to use yabate fulfillment meaning from yabilis Amazon accounts and

25:54

we are soon going to have a so-called hybrid option which is a combination of

26:01

orders from your own Amazon accounts with yabate fulfillment with a certain

26:07

routing settings which will allow you to decide based on Source price basically which

26:14

orders go where um of course all the automated

26:20

options have also automated tracking while the manual one does not

26:27

so remember that the auto orders from your own Amazon accounts

26:34

require you to buy a own credits so-called AO credits uh

26:40

this is something we measure and show you the number of it in this top right

26:45

corner and fulfillment does not require you to buy AO credits

26:51

because in fulfillment you basically simply load actual money from your either PayPal or payoneer account into

27:00

the system and yabilis simply uses this money to buy your pending orders and then deducts

27:08

from it and you see all the the history of it in a dedicated page named balance

27:14

page it will appear once your fulfillment is activated um now so if you want to use orders from

27:22

your own Amazon accounts you need to go to your pricing page this is also the page where you select your subscriptions

Plan pricing

27:28

you just drag this circle to the left or to the right and you choose you click this button to

27:38

subscribe to it you can pay for it with your either credit card or payoneer or PayPal

27:43

and so if you want to use Auto orders from your Amazon accounts you need to buy these credits

Auto orders - using personal Amazon

27:50

the auto orders credits if you want to use fulfillment do not

Fulfilment - Yaballe Amz accounts

27:55

buy these credits okay click here and ask us to activate fulfillment for

28:01

you so we are asking you for the email address of your yabate user and we also

28:07

need your full name this is how we identify each account uh sorry this is the email to which you

28:14

want to receive the correspondence and this is the yellow user email so you just fill in this ticket and you click

28:21

submit and our team will handle your request they work 24 7.

28:27

um last thing both for auto or the usual Auto orders the regular and the

Single address - Blue care / Aqualine

28:34

Fulfillment require you also to buy Blue Care slash aquiline credits for the

28:40

tracking numbers you can find them here under extra add-ons okay Blue Care Express credit cards at the same credit

28:47

the same CR not credit card sorry credits the same credits are used also for aquiline we just did not change the

28:54

name um and so once you you can add all these

29:02

add-ons whenever you like they are one-time purchases unlike the

29:07

subscription which is monthly of course okay

29:12

um so I'm not going to dive into the um Auto orders and fulfillment settings

29:18

there are articles about it and of course again I'm mentioning you that you

29:24

can contact our support anytime if you need more information about each

29:31

um Auto tracking

29:36

so Auto tracking you also have actually a link to buy the credits for the Blue

29:42

Care slash aquiline credits in here

29:47

and the settings which are very very important for the auto tracking they

29:54

are here in settings Auto orders tracking conversion

30:01

so the first one if you choose the first one this one

30:06

uh only your TBA slash Amazon tracking numbers will be converted and they will

30:13

only be converted to Blue Care if you choose this one if you choose the one which is currently selected on the

30:19

account I'm showing all your tracking numbers are going to be converted including UPS USPS and FedEx and of

30:27

course also the TBA tracking numbers and they are going to be converted to aquiline with one ship from address in

30:35

Blue Care we do not use the one ship from address okay now before you choose which radio button

30:43

you want to click you need to fill the address and to click the verify button

30:49

to verify it once you did it remember to click also the save button here on

30:54

bottom left it's a bit cut on my video

30:59

all right I think we covered all the important

31:04

topics yeah guys so again as already mentioned you can always find us in

31:12

support use the support um all the tickets 100 of the tickets are

31:20

going are reaching a human now remember a small rule about the support open a

31:25

new ticket for each new topic the tickets are basically

31:31

uh meant to to solve narrow issues okay usually

Support

31:39

and narrow issues have a specific number of results okay

31:47

so basically if you want to ski to reach quickly to the area where you can open

31:52

the ticket you can just type one letter here click enter and then click the three dots no need to wait for the

31:58

articles I don't know why it's stuck here

32:03

basically this button already takes you usually to the next step and then you can open a general request or if you are

32:11

already a fulfillment user you will also have a fulfillment request

32:17

and if you are just a user with Asa subscription subscription you will also have monitor

32:24

request tickets and so on okay so guys

32:30

um good luck and we really know that the automated non-api is a great solution uh

32:37

for um taking your your eBay store basically to to a much better place yeah

32:45

it's a feature which one our biggest users have been using

32:50

for more than a year now and continue to do and they simply grow with

32:56

it and just want more and this is your chance to to try it

33:02

thank you


29 views 19 Jun 2023

This video guides you through all the basic setting of Yaballe automatic non-api, as well as the use of the lister and Monitor page and basic information on how to enable auto orders and auto tracking.


00:00 - Non api overview and setup 1:52 - Setting up the account - important details 2:06 - FTP setup - generate your token 2:45- Setting eBay policies 3:11 - Setting warehouse location  4:25 - Account settings 8:25 - Templates at Automated Non Api 8:55 - Multiple eBay accounts 9:51 -Giving access to Va's 9:57 -More information - Help center 11:15 -Set profit and Breakeven 12:12 -Vero 14:23 -Lister 17:43 -Bulk lister 19:51 -Unsynced eBay listings 21:56 -Monitor 23:40 -Sold item 27:27 -Plan pricing 27:47 -Auto orders - using personal Amazon 27:55 -Fulfilment - Yaballe Amz accounts 28:31 -Single address - Blue care / Aqualine 31:32 -Support 

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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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