Context Optimization

Techniques used to improve the accuracy, speed, and relevance of information retrieved from a knowledge base.

The process of systematically improving prompts to increase the quality, consistency, efficiency, or reliability of AI model outputs.

Techniques and strategies aimed at reducing prompt and completion token counts to lower latency and operational costs.

The maximum amount of information a model can process and retain within a single interaction or inference.

A prompting technique that incorporates relevant context into a prompt to improve the accuracy, relevance, and coherence of model responses.