Staff AI System Design: Building an Enterprise AI Platform: sections and modules
Production AI quality and releases
Catch a model or retrieval change that silently lowers accuracy or raises cost and latency.
- Lessons
- 5 lessons
- By
- Sourav Banerjee
- Scope
- Versioned eval datasets, release gates, canary and shadow tests, observability and rollback
- Prerequisites
Lessons
Start moduleAlso used in this module
Lessons taught in another module that this one builds on.
- Release Gates: Safety, Quality, and Cost
Credited source
- Golden Sets and Sample Size
Credited source
Practise and Check
- Deliverable
- Stage lab and self-test
- Assessment
- Exit gates
- Interview probe
- What exactly is evaluated?
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