Latency and Cost Optimization: Caching, Batching, and Model Selection

Quick Summary

Evals measure model quality on representative inputs against predefined criteria. Without them, AI feature changes are guesswork; with them, you can ship continuously with confidence.

What you will learn

·Build robust evaluation frameworks for AI product features before and after launch
·Set up monitoring for AI feature quality in production
·Understand the model improvement loop and how to drive continuous quality gains