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by d_burfoot
921 days ago
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Bear in mind that ML skillset is now bifurcating into two components. On the one side are the people who work at places like OpenAI/DeepMind/Mistral/etc, who have billion dollar compute budgets. They are the ones who will create the foundational models. At this point a lot of this work is very technically narrow, dealing with CUDA, GPU issues, numerical stability, etc. On the other side are people who are using the models through the APIs in various ways. This is much more open-ended and potentially creative, but you don't need to know how QLearning works to do this. It's a bit analogous to the situation with microprocessors. There is a ton of deep technical knowledge about how chips work, but most of this knowledge isn't critical for mainstream programming. |
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