Preface and Introduction

The first episode maps Chip Huyen's AI Engineering and examines the transition from traditional ML to applications built on foundation models.

Topics include tokens, multimodality, sentiment analysis, content moderation, and the gap between LLM hype and business expectations.

The discussion also connects AI with internal developer platforms, MCP, model economics, and the democratisation of development through prompting.