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AI Cost Playbook. FinOps for LLM systems, token economics, caching, routing, and cost governance Caio Incau

Książka w języku angielskim angielski
AI Cost Playbook. FinOps for LLM systems, token economics, caching, routing, and cost governance Caio Incau - okladka książki

AI Cost Playbook. FinOps for LLM systems, token economics, caching, routing, and cost governance Caio Incau - okladka książki

AI Cost Playbook. FinOps for LLM systems, token economics, caching, routing, and cost governance Caio Incau - audiobook MP3

AI Cost Playbook. FinOps for LLM systems, token economics, caching, routing, and cost governance Caio Incau - audiobook CD

Autor:
Caio Incau
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
206
Dostępne formaty:
     PDF
     ePub

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LLM applications introduce a new kind of cloud economics. Costs are usage-based, model-dependent, and influenced by everything from prompt length and caching to RAG pipelines and autonomous agent loops. As grows, engineering teams need more than isolated cost-cutting tricks; they need FinOps for LLM systems.
The AI Cost Playbook shows you how to apply financial accountability and engineering discipline to production AI. You’ll build tokenwatch, a Python-based cost observability and optimization toolkit, while learning to meter tokens, attribute spend, and calculate costs per request, user, and feature.
You’ll then reduce unnecessary spend through prompt optimization, caching, batch processing, model routing and cascades, RAG optimization, and agent cost controls. You’ll also evaluate the break-even economics of self-hosting and learn how to forecast future AI expenditure.
Finally, you’ll turn optimization into an operating discipline by establishing budgets, quotas, forecasting, and cost accountability. With configurable pricing rather than hardcoded model costs, the techniques remain useful as providers, models, and pricing evolve.

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