Context Engineering SF: Context Engineering for Engineers - Jeff Huber скачать в хорошем качестве

Context Engineering SF: Context Engineering for Engineers - Jeff Huber

In this talk, Jeff Huber, founder of Chroma, introduces the idea of context engineering as a clearer and more practical framework than prompt engineering or RAG. He shares insights from Chroma’s recent research on context limits, showing why curating and optimizing context is essential for building reliable AI systems. The talk covers how context engineering improves performance by focusing on gathering, filtering, and compacting information, why long context models fall short, and how these ideas apply to agents and multi-step workflows. Chapters: 00:00 - Introduction to Context Engineering 00:26 - Understanding AI Systems as Programs 01:29 - The Concept of Context Engineering 02:02 - Building Reliable Software with AI 02:31 - Challenges with Long Contexts 03:07 - Chroma's Technical Report Insights 03:57 - Needle in a Haystack Problem 05:08 - The Importance of Context in AI Tasks 06:05 - Gather and Glean Model 06:44 - Data Gathering Techniques 07:31 - Gleaning and Optimizing Data 08:26 - Content Engineering for Agents 09:35 - Challenges with Agent Performance 10:13 - The Role of Compaction 10:57 - Conclusion and Final Thoughts