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Joined 11 months ago
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Cake day: October 28th, 2023

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  • The same as always, using lightgbm.

    Joke aside, you can train a LLM to give the result of 1+1 and it can sometimes be wright. That’s an expensive way of solving that problem.

    You can also develop a simple calculator, that will always get an accurate awnser.

    My point being that simply because the algorithms you mentioned ‘can’ solve a problem, doesn’t mean they are the best solution for that. That are a bunch of NLP problems that LLMs are supbar for exemple.

    The future of ML in startups will be the same as it currently is: find the best solution to the problem given the particularities of the problem and the business constraints (i.e. money).