Context Engineering

Designing the complete information environment supplied to an AI model.

Context engineering goes beyond writing a prompt. It determines which instructions, retrieved documents, memory, tool results, user details and examples should be included in the model’s context window.

The objective is to provide the right information at the right time while avoiding irrelevant or conflicting content. It is a major part of building reliable agents and production AI applications.

Also in

Diffusion Models Small Language Models Retrieval-Augmented Generation Prompt Engineering Few-Shot Learning Supervised Fine-Tuning

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