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2min chapter
Serverless GPUs
Practical AI: Machine Learning, Data Science, LLM
ML Model Inference - What's the Difference?
It's a very interesting mesh of skills, it seems, to do what you're doing there. It also kind of brings different cultures together in terms of the choices of languages and stuff. Do you tend to go with one language for everything for simplicity sake? Or do you tend to going with different languages that are catered towards specific use cases? How do you take that strategy wise? So the obvious language for hosting ML model inference is Python.
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