RECORDING

Join Aishwarya Srinivasan and Arvind Narayanamurthy on November 8th for a 1.5-hour live workshop on Context Engineering: The Hidden Lever of AI Performance.

This session goes beyond prompts to help you understand why context is the real bottleneck in LLM systems, and how mastering it can dramatically improve performance, scalability, and cost efficiency across chatbots, agents, search, and enterprise workflows.

You’ll learn:

→ Key LLM terminologies: context window, temperature, top-p, top-k

→ Where prompt engineering fails and context engineering begins

→ The complete Context Engineering Toolkit: Summarization, Pruning, Query Rewrite, RAG, Context Offloading, Isolation

→ How to use Memory as Context and design persistent systems

→ Practical cost levers and failure modes across real-world use cases

We’ll end with a live build and demo, showing how to apply these techniques step-by-step to optimize your own applications.

By the end, you’ll not only understand how context impacts AI performance, you’ll have the skills to engineer smarter systems and create powerful portfolio projects that stand out.