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latency engineering
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- Article · Generative AI
Generative AI, Part 7 — Cost & Latency Engineering: Decoder Policies, Caching, Batching, and $/Accepted Output
Optimize generative AI pipelines for cost and latency. Learn to define budgets, choose efficient decoder policies, implement strategic caching, and batch requests effectively. Discover how to measure $/accepted output, reduce repair loops, and route requests to the right model for maximum efficiency and quality. Implement these strategies to make your generative stack faster and cheaper.
