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What LLM/Model you using?

kram182 said:
It can vary just giving it the same task, repeatedly. Downside of probabilistic vs determinsistic.
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It's like calling an indian call center, hoping for the most intelligent least arrogant operator, but often that's not what you get.
 
Qwen 3.5 122b moe replaced gpt oss 120b for me. I don't know if it's more accurate, but I like it's output better and I like that it has vision. Also, it has huge context which I like because most of the conversations I have are iterative. If I need a quick answer, I usually throw it into google/Gemini, claude, or chatgpt, depending on what it is. Google ai has provided tons of bad into that I call it out on though for technical things.

It will be nice when windows updates how it uses unified memory to allow more to be used by the gpu, later this year.

Also looking to start using medgemma to track things I want to bring up with my Dr between physicals. I seem to always forget things like my shoulder issue when it's fine the week of the appointment, etc. But it might be cool to see if ai has any insights and medgemma seems solid. ***only local of course, don't be discussing your personal health with cloud ai***
 
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Curious if folks complaining about all local models being dumb actually tune the parameters of their model. It is not insignificant by a long stretch.
 
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