Context Engineering - Practical Techniques for Improving Agent Quality Today
MLOps World: Machine Learning in Production via YouTube
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Overview
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Learn practical context engineering techniques to improve AI agent reliability and performance in this conference talk from MLOps World GenAI Summit 2025. Discover how buzzwords like few-shot prompting, reasoning, tool calling, and structured outputs all serve the same fundamental purpose: getting language models to perform exactly as intended. Explore the unifying discipline of context engineering and understand what "context" truly means in modern AI systems. Master general prompting and reasoning strategies with structured approaches, and implement practical methods to enhance reliability and control in your agents. Understand why surrounding tooling, rather than just model size, determines quality outcomes in production environments. Examine real-world examples demonstrating how context engineering improves production systems and gain actionable insights for enhancing model behavior through smarter design rather than relying solely on larger models.
Syllabus
Context Engineering Practical Techniques for Improving Agent Quality Today | Vaibhav Gupta, Boundary
Taught by
MLOps World: Machine Learning in Production