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    Context Engineering

    Unit 1

    Context Management for agents

    Introduction to Context Management
    Context Representation and Storage
    Context Retrieval and Update Mechanisms
    Handling Ambiguity and Uncertainty
    Multi-Agent Context Sharing

    Unit 2

    Optimizations

    Performance Bottlenecks in Context Processing
    Caching Strategies for Context Data
    Efficient Context Windowing Techniques
    Parallel and Distributed Context Handling
    Real-world Case Studies and Best Practices
    ;

    Unit 1 • Chapter 4

    Handling Ambiguity and Uncertainty

    Summary

    Handling ambiguity and uncertainty requires embracing unknowns, applying probabilistic thinking, iterating decisions, seeking diverse perspectives, and building resilience through adaptive strategies and continuous learning.

    Concept Check

    Which cognitive bias leads people to underestimate uncertainty in complex systems?

    What technique involves testing assumptions by creating multiple plausible future scenarios?

    In probabilistic decision‑making, which distribution best models binary outcomes with unknown probability?

    Which framework recommends "sense‑making, hypothesis generation, and rapid experimentation" for ambiguous problems?

    What term describes the ability to recover quickly from setbacks caused by uncertainty?

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