Code up ChatGPT from scratch: Part 1 (MultiHeaded Attention)

In this video, I start coding ChatGPT from scratch using GPT-2, focusing on multi-headed attention, the core mechanism behind transformer models. I break down the theory behind attention, walk through the code step by step, and explain how it all comes together to power large language models like ChatGPT.

Colab Notebook: tinyurl.com/4vjcr6uw
LLM from scratch github: tinyurl.com/bdd5yew5
Illustrated Attention: tinyurl.com/5aefwhj3
🔍 Topics Covered:

How multi-headed attention works in transformers
Understanding query, key, value, and scaled dot-product attention
#ChatGPT #GPT2 #AI #MachineLearning #DeepLearning #Transformers #AttentionMechanism #ArtificialIntelligence #ai #aiexplained