The anti-pattern of ad-hoc trainingIn my last article, I wrote about how the use of Jupyter notebooks harms MLOps. Because everyone seems to adore notebooks, I expected most people would strongly disagree. In reality, I found that my thoughts resonated with lots of people. Because the topic is important, I decided…
Notebooks and MLOps. Choose one.In the previous issue, I wrote about what MLOps suffers from. Now that I come to think of it, I have realized that it is worth writing about one more thing that stands in our way towards MLOps. You know this thing very well. It’s Jupyter notebooks. In fairness to Jupyter…
Things that kill MLOpsMost of today’s ML models are built using public datasets and trained in notebooks. No surprise these models are hard to productize. Operations require automation. If the development loop is not automated, it’s broken. The good news, MLOps solves it. Bad news, there’s a lot of…
MLOps Fluff
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MLOps Fluff
Strong opinions on MLOps, developer tools, and open-source. Edited by the dstack team.
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