Instrumenting cost and quality in AI production
How to measure tokens and cost per unit of work, attribute spend by team, monitor quality, and back your ROI calculation with real data.
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How to measure tokens and cost per unit of work, attribute spend by team, monitor quality, and back your ROI calculation with real data.
A technical guide to sizing GPU and memory, applying quantization, continuous batching, and KV cache when serving language models inside the company.
Prompts and system instructions treated with the same discipline as code: repository, PR review, automated tests, canary rollout, and rollback.
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Everything we cover here — AI governance, legacy system integration, audit trails and preserved corporate knowledge — is available on the e.works platform at eworks.cloud.
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