AI Engineering · Performance, Cost, and Operations¶
Improve throughput and control cost per successful task within quality and latency constraints. Manage SLOs and capacity with explicit denominators and measurement windows, then use feedback for evaluation or training after verifying permitted use, deduplicating it, and identifying causes. More cache hits, larger quotas, and more feedback do not automatically produce better business outcomes.
Chapters¶
- Chapter 11: Caching, Batching, Throughput, and Cost Optimization
- Chapter 12: SLOs, Capacity Planning, and Incident Response
- Chapter 13: Feedback Loops and the Data Flywheel
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