Learn to build better AI Agents through better context
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Author: DeepLearningAI · Watch on YouTube
Video authored by the channel shown, not by IANIA; all rights belong to the creator. Transcript and summary generated automatically; the original-language content is preserved.
Original language: English
Original video: Learn to build better AI Agents through better context · Channel: DeepLearningAI · 01:01 · Watch on YouTube
Topics: AI agents, Enterprise AI applications, Prompt and context engineering
Summary
Section titled “Summary”The video introduces a course on context engineering, created by DeepLearning.AI in partnership with Chroma. As agents take on longer and more complex tasks, keeping their context useful and relevant becomes a challenge. Context engineering means designing systems that give agents the right information in the right format at the right time. The course offers hands-on practice building context-management tools and hooks from scratch, with examples spanning customer service, coding, research, and email.
Key points
Section titled “Key points”- The course is from DeepLearning.AI and was built in partnership with Chroma.
- Agents are increasingly handling complex, lengthy tasks, sometimes independently for hours or days.
- Data generated during these tasks can make it difficult to keep an agent’s context useful and relevant.
- Context engineering designs systems that deliver the right information, format, and timing to an agent.
- Giving an agent multiple search tools can improve its performance.
- Trimming duplicate or irrelevant text from context can help keep an agent on track.
- The course includes hands-on labs and implementation of tools and hooks for managing context.
- Learners work from scratch without using frameworks and explore agents for customer service, coding, research, and email.
Chapters
Section titled “Chapters”| Start | Chapter | Summary |
|---|---|---|
| 00:00 | The challenge of agent context | The video introduces the course and explains why long-running agents need useful, relevant context to avoid context rot. |
| 00:30 | What context engineering involves | Context engineering provides agents with the right information in the right format at the right time, using interventions such as search tools and context trimming. |
| 01:01 | Hands-on course and example agents | The course offers framework-free labs and examples in customer service, coding, research, and email to teach context-management best practices. |
Quotes
Section titled “Quotes”How can you keep the agent’s context useful, relevant, and avoid context rot — 00:00
This is the work to design and build systems that provide the right — 00:00
information in the right format at the right time to your agent. — 00:30
Simple interventions from giving your agent multiple search tools — 00:30
without using any frameworks. — 01:01
Concepts and entities
Section titled “Concepts and entities”context engineering, context rot, agents, DeepLearning.AI, Chroma
Full transcript (original language)
Section titled “Full transcript (original language)”00:00 I’m excited to share context engineering, a course from deeplearning.ai built in partnership with Chroma. Agents are rapidly advancing, carrying out increasingly complex and lengthy tasks, [music] and working independently for hours or even days. All the data generated along the way presents a challenge. How can you keep the agent’s context useful, relevant, [music] and avoid context rot so that it continues to perform well? This is where context engineering comes in. It’s the work to design and build systems that provide the right
00:30 information in the right format at the right time to your agent. Simple interventions from giving your agent multiple search tools to trimming duplicate or relevant text from context can make a big difference in the performance of your agents. So, if you’ve been struggling to keep your agents on track or improve their performance, then check out this new course [music] on context engineering. Throughout the course, you’ll get hands-on experience in labs and implement tools and hooks to enable agents to better manage context, all
01:01 from scratch without using any frameworks. You’ll explore these techniques with a variety of example agents that can carry out tasks like customer service, coding, research, and even managing email. By taking this course, you’ll learn the best practices of how to build powerful and reliable agents through managing context. [music] So, enroll today and start learning context engineering.