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Multi-GPU training is hard (without PyTorch Lightning)
Practical AI: Machine Learning, Data Science, LLM
Canno Research
I think, like i said, none was over because i was trying to build anything for anyone else, right? I was trying to make myself move fast. So that's been a interesting journey so far. But holistically having to focus on a lot of domains has made it super general. Because donlp is very different from vision, and its very different from ouno reaforcing learning and metal learning and so on. And it's not obvious to know where they overlap. So it's been canno researchro really, i the long run, right? How do you factor out deep learning cot and make it interruptible? Yes?
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