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sdesol01/20/20251 replyview on HN

I personally think getting LLMs to better deal with numbers will go a long way to making them more useful for different fields. I'm not an accountant, so I don't know how useful it would be. But being able to say, here are some numbers do this for scenario A and this for scenario B and so forth might be useful.

Having said that, I do think models that favours writing code and using a "LLM interpretation layer" may make the most sense for the next few (or more) years.


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wat1000001/20/2025

Based on how humans operate, I’d say they should have a good “intuition” for approximate results, but use an external calculator for the exact numbers. Even if you can train it to be accurate, it’s going to be tremendously inefficient compared to calling out to some external service that can directly use the arithmetic hardware in the computer.

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