Transformer Architecture & Power of Self-Attention in Language Models | Raju Kandaswamy | #chatgpt
In this video, Raju Kandaswamy delves into the fascinating world of transformer architecture, shedding light on the critical role of self-attention in language models (LLM). Learn how self-attention drives LLMs, enabling them to grasp language patterns, understand grammar and semantics, and construct knowledge from input data. Uncover the origins of the transformer architecture from the groundbreaking paper "Attention is All You Need," published by Google. Interestingly, OpenAI reaped its benefits.