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Experiment Tracking in the Age of LLMs // Piotr Niedźwiedź // #168

MLOps.community

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The Importance of Explicit Communication in MLOps

I see a lot of similarities to DevOps when it comes to core of the problems. The differences in details are very different, but I think that with ML Ops and large-language model ops, it is a marathon. It is not the game of one takes it all. So if you communicate to your shareholders, to your investors, what is the strategy, you can make those decisions about which type of problems you are jumping to solve. In this space, we were able to close bigger deals with enterprises, but they had needs that I felt weren't in line with the core jobs to be done of foreign action. We decided to pass on those deals even though closing one deal would double

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