Bonus Episode: How Large Language Models Actually Work (A Simple Story)
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to wishlist failed.
Please try again later
Remove from wishlist failed.
Please try again later
Adding to library failed
Please try again
Follow podcast failed
Unfollow podcast failed
Bonus Episode: How Large Language Models Actually Work (A Simple Story)
-
Narrated by:
-
By:
Summary
Most people don’t understand how AI actually works — and that’s okay.
In this episode, I explain Large Language Models using a simple story anyone can understand.
Neural networks, transformers, hallucinations, and RAG are usually explained with math, code, and diagrams that look like spider webs.
So I did something different.
In this bonus episode of the AI Automation Alchemist podcast, I use a simple story — a flat tire and a cocktail party — to explain:
- How Large Language Models actually work
- What input layers and hidden nodes really do
- Why AI hallucinates
- How transformers keep context intact
- How Retrieval Augmented Generation (RAG) injects facts
- Why AI feels intelligent without “thinking”
No code. No math. No hype.
If you’ve ever nodded along pretending to understand neural networks — this episode is for you.
Sponsored by:
- Grata Software — custom AI & automation
- Digital Strike Hub — learn AI the right way
#ChatGPT #LLM #ArtificialIntelligence #AIExplained #Automation
adbl_web_anon_alc_button_suppression_c
No reviews yet