Response Caching

A caching technique that stores and retrieves query responses based on semantic similarity rather than exact string matches.

A technique that stores reusable prompt content so repeated requests can avoid processing the same input repeatedly, reducing latency and inference cost.

The process of improving the speed, latency, throughput, memory usage, or cost-efficiency of AI model inference through techniques such as quantization, pruning, batching, caching, hardware acceleration, and optimized model serving.

The practice of reducing response latency in AI systems to improve responsiveness, throughput, and user experience.

The process of reducing infrastructure, model, and operational costs while maintaining or improving application performance, reliability, and quality.