Dissecting LLMs: From Attention Mechanisms to Next-Token Prediction
2025-03-06
ChatGPT's explosive growth to 100 million users in 2023 sparked an AI revolution. This blog post demystifies the inner workings of Large Language Models (LLMs), covering key concepts like word embeddings, attention mechanisms, multi-head attention, and the core components of the Transformer architecture. Using clear language, visuals, and examples, the author explains how LLMs generate text by predicting the next token and details the journey from base models to instruction tuning and reinforcement learning. The post also includes guidance on interpreting model cards and suggests further learning resources.
Read more
AI