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DevOps vs LLMOps vs MLOps in 3 mins, let’s go 🚀

16,654 просмотров • 8 месяцев назад •via X (Twitter)

Комментарии: 4

Фото профиля Practical AI Lab
Practical AI Lab8 месяцев назад

This framing is useful, but LLMOps feels less like a new ‘ops’ and more like ‘software reliability, except the code is probabilistic’. Evals + traceability are the new tests + logs.

Фото профиля NullPointerMood
NullPointerMood8 месяцев назад

which one to learn

Фото профиля Stocks Watcher
Stocks Watcher8 месяцев назад

Great video

Фото профиля Shashank Agarwal
Shashank Agarwal8 месяцев назад

The ops layer is where most AI projects die. DevOps gives you CI/CD, but LLMOps needs eval pipelines, drift detection, and prompt versioning that didn't exist 2 years ago. We built 68 evaluation scorers at Noveum specifically because "it works in the notebook" means nothing when you're processing 6M+ API calls/mo in production.

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