The Tech Behind AI Chat Tools (LLMs)
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ChatGPT isn’t thinking — it’s calculating probabilities.
In this episode, I explain how Large Language Models actually work, in plain English.
Most people use ChatGPT daily without understanding what it’s actually doing.
In this episode of the AI Automation Alchemist podcast, I break down:
- What Large Language Models (LLMs) are
- How neural networks work (simplified)
- What transformers actually do
- Why context matters more than prompts
- Why AI feels intelligent without “thinking”
This is not hype, not marketing, and not theory — it’s a practical explanation for business owners and builders who want to use AI correctly.
00:00 What this episode covers
00:45 Why I used Notebook LM
02:10 What a Large Language Model is
03:15 Neural networks (simplified)
04:40 Hidden nodes & parallel processing
06:00 Transformers & context
07:40 Why words mean different things
09:00 Why AI feels intelligent
10:15 The simplified explanation epiphany
Resources & Links:
- Notebook LM
- Grata Software
- Digital Strike
Connect with Rey Ortega:
- X/Twitter
#ChatGPT #LLM #ArtificialIntelligence #AIExplained #Automation
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