Large Language Models (LLMs) are AI systems designed to understand and generate human-like language.
They are trained on massive amounts of text data (e.g., books, websites, articles) to predict the next word in a sequence, enabling them to answer questions, write text, or perform tasks like translation or summarization.
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People often ask where they are physically.
Data centers for LLMs: LLMs require massive computational resources, typically hosted in large-scale data centers equipped with thousands of GPUs (graphics processing units). Their power consumption is causing a problem.
These data centers are operated by companies like OpenAI (for ChatGPT), xAI (for Grok), Google, Meta, or cloud providers like AWS, Microsoft Azure, or Google Cloud.
Northern Virginia (Ashburn and surrounding areas): A major hub for Azure data centers, hosting significant AI workloads due to its robust internet infrastructure.
Texas (San Antonio, Dallas/Fort Worth): Azure facilities here support scalable AI operations.
California (San Jose, San Francisco Bay Area): A tech-heavy region with multiple Azure data centers.
Washington State (Quincy, Redmond): Known for Microsoft’s large data center complexes, leveraging hydroelectric power for energy efficiency.
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The important Stuff. How to use them.
Great Search engines because they get right to the meat of a subject. Why did Google include Gemini 2.5 in its search results?
LLM’s will be the new search engines and they will all compete with each other.
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They are a second brain. Pretty much any brain you need them to be.
My company the Artisan Business Community was entirely created in LLM’s from the concept idea to the business plan. There are over 1000 hours of interactions and 500 pages of notes on every aspect of the business.
I learned how to understand Facebook, Google and different LLM's algorithms for creating visibility from AI.
You need to think of them as the smartest person you know but with some quirks. You interact with them and even argue. I have on occasion sworn at Chatgpt and told it, it was full of BS. I never take anything they say as gospel. I cross reference everything through Multiple LLM’s.
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Tricks of interaction.
Make them write their own prompts. The 3 monkies
Challenge them on their answers
Take the challenge to another LLM and tell it where the info was from
Its very interesting to see their responses.
You can create specific models inside an LLM to guide them in their research and answers.
Constantly interact with them. They get better with time. You train them but they will also train you.
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Practical Educational example of an LLM!
Legacy Project created in an LLM.
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Content creation
AI Image Generators
Videos created using AI and Capcut: AI Generative Imaging and Capcut
The music was created in Suno: Suno
NightCafe: Nightcafe
Hedra: Hedra
Synthesia video: Bella Vista historical Museum
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Personal Branding Concepts