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l1am0 | 19 days ago
Why do I need gpt-oss-120B at all in this scenario? Couldn't I just directly call e.g. gemini-3-pro api from the python script?
l1am0 | 19 days ago
Why do I need gpt-oss-120B at all in this scenario? Couldn't I just directly call e.g. gemini-3-pro api from the python script?
unknown|18 days ago
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unknown|18 days ago
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reedf1|18 days ago
What part here is the knowing or understanding? Does solving an integral symbolically provide more knowledge than numerically or otherwise?
Understanding the underlying functions themselves and the areas they sweep; has substitution or by-parts, actually provided you with this?
svnt|18 days ago
OP says “I taught LLM how to see” and this should mean the LLM (which is capable of being taught/learning) internalized how to. It did not, it was given a tool that does seeing and tells it what things are.
People are very interested in getting good local LLMs with vision integrated, and so they want to read about it. Next to nobody would click on the honest “I enabled an LLM to use a Google service to identify objects in images”, which is what OP actually did.
gus_massa|18 days ago
In 1D, substitution by linear functions like "t=3x+1" is very insightful. It's a pity that sometimes we don't have time to analyze it more deeply. Other substitutions may be insightful or not. Some tricks like "t=sin(x)" has a nice geometrical interpretation, but it's never explained, we don't teach it anyway now.
Integration by parts is not very insightful until you get to the 3rd or 4th year and learn Solovev spaces or advanced Electrodynamics. I'd like to drop it, but other courses require it and I'd be fired.
In some cases, parity and other symmetries are interesting, but those tricks are mostly teach in Physics than in Math.
Also, in the second year we get 2D or 3D integrals, that have a lot of interesting variable changes. Also, things like the Gauss theorem and it's relation with conservation laws.