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DevOps vs LLMOps vs MLOps in 3 mins, let’s go 🚀
16,654 次观看 • 8 个月前 •via X (Twitter)
4 条评论

Practical AI Lab8 个月前
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.

NullPointerMood8 个月前
which one to learn

Stocks Watcher8 个月前
Great video

Shashank Agarwal8 个月前
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.


