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:

• LinkedIn
• X/Twitter
  

#ChatGPT #LLM #ArtificialIntelligence #AIExplained #Automation