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> I think you need to ask what you actually want to do with the AI.

What about improving the efficiency of token consumption, etc., basically opportunities for improving cost/performance?

I keep thinking there has to be a better way to share context with models than dumping entire gigantic skill files of raw text or otherwise into them - I'm betting there's a bunch of low-hanging fruit there.

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There may be some low hanging fruit, but they're not available to people without deep understanding of how the math works. Well paid people already spend a lot of time thinking about this.
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i am not sure acctually of the math is acctually that complicated/important. the math around neural networks is calculus/chain rule etc and for model comparison/validation one needs statistics. the required math for e.g. understand transformers is quite accessible.
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You missed the third and most important reason to learn: fun.

Which sums up HN these days.

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