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Show HN: TERMy – A fast terminal assistant that does not use LLMs

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Re: Show HN: TERMy – A fast terminal assistant that does not use LLMs

#31
Very interesting project, I like it. Just wanted to clarify though the sentiment analysis is just the count of stripped words and used to tag things with the emoji? I was initially expecting it to be a part of the actual command construction process (even though I couldn't figure out how that would be relevant) given how it was listed.

Re: Show HN: TERMy – A fast terminal assistant that does not use LLMs

#33
what I would love to see along those lines is something that can answer "what packages do I have installed to do task $foo"; I keep installing things that I use for one thing and then forget about when I need to do the same task some months or years later.

Re: Show HN: TERMy – A fast terminal assistant that does not use LLMs

#34
post #21

Earlier quoted context omitted.

You can get determinostic output (mostly) by setting the temperature to zero. Using couple of other tricks you can get close to 100% of determinism with LLMs.

That's reproducible, I wouldn't call it deterministic. Small, semantically meaningless changes in the input can still result in wildly different output.

I've long observed that kind of behaviour in google translate (which makes sense, they have been using ML for a long time.)

Re: Show HN: TERMy – A fast terminal assistant that does not use LLMs

#39

Hi, I am the creator, feel free to ask any questions :) What do you think about it?

Cool, but system and user should probably stick to short, clear commands. E.g., I see you do some anaphora resolution (in particular: find what "it" refers to), but in a complex dialog, the human intention can differ from the machine's understanding. That will give problems when you end your dialog with "delete it".

Adding more sentences to your data set will slowly degrade performance. It's a delicate system.

Source: I have written software with similar functionality (NLP search) in SaaS form, a long time ago. It required quite a bit of work to configure.

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