February 2026
Beginner to advanced
3h 46m
English
conference
AI Superstream: Context Engineering
by Angelina Yang, Dhruv Batra, Drew Breunig, Jeff Huber, Apurva Misra, Paul Iusztin, Shawkat Kabbara, Yuzheng Sun, Mikiko Bazeley
Closed Captioning available in German, English, Spanish, French, Italian, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
The performance and reliability of an AI-powered system is determined not only by the strength of the particular AI model underneath it, but also the data or context the model is given for any particular task. Engineering large contexts that an AI model or an even more complex agentic AI system can leverage is challenging, and bigger is not always better. Join our experts to explore the art and skill of context engineering and its essential components from prompting and retrieval to tool use and memory.
What you’ll learn and how you can apply it:
- Learn the essential building blocks of context engineering for AI
- Explore the challenges of context engineering and the techniques and tools that are used by industry experts to address them
- Learn from the real-world experience of engineers who are building agentic AI systems
Recommended follow-up:
- Read Prompt Engineering for LLMs (book)
Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
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