Lesson 1: The Foundations of Large Language Models
We start by dismantling the mystery behind AI by exploring the architecture of transformers and how models learn to predict the next token.
We start by dismantling the mystery behind AI by exploring the architecture of transformers and how models learn to predict the next token.
This lesson details structured prompt design patterns that significantly improve the quality and relevance of AI responses.
Move beyond text to understand how diffusion models transform random noise into coherent, high-resolution images.
A hands-on approach to calling AI models via code, moving beyond the web chat interface into automated pipelines.
We synthesize all previous lessons to build a Python-based utility that summarizes long documents automatically.