2min chapter

Practical AI: Machine Learning, Data Science, LLM cover image

MLOps and tracking experiments with Allegro AI

Practical AI: Machine Learning, Data Science, LLM

CHAPTER

The Importance of Documentation in DevOps

It seems like a really high barrier for people to overcome, you know, from day one, to get things working and also do it in a repeatable way. How soon do you see teams encountering that issue when they start working on this problem? What are those kind of essential elements of more of the documentation or tracking side of things that need to be in stone somewhere over time?

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