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#041 Context Engineering, How Knowledge Graphs Help LLMs Reason

How AI Is Built

CHAPTER

Navigating Context Engineering for Language Models

This chapter explores the intricacies of context engineering when interacting with large language models (LLMs), emphasizing the critical balance between breadth and precision in context creation. It discusses the significance of knowledge graphs, the role of agents, and the importance of structured context in optimizing LLM performance. By sharing personal experiences, the chapter highlights methods to enhance reasoning accuracy and output efficiency, while addressing challenges in measuring context quality.

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