Building AI Products
Lesson 5 of 6
0%Lesson 5
30 min
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
Advanced Content
Sign in to unlock this lesson
Latency and Cost Optimization: Caching, Batching, and Model Selection is part of Building AI Products — an advanced module. We keep these gated so we can save your progress, recommend next steps, and personalize the curriculum.
All beginner content stays free and open — no login required there.