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Comments (30)

• zem
  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.
• Alpha3031
  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.
• publlus_enigma
  This is a cool project; I think it's wonderful that traditional NLP methods are being used, rather than reaching straight for an LLM.One significant advantage of not using a local LLM is the significantly simplified dependency stack.
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  nateb2022
  cf. https://github.com/TellinaTool/nl2bashpaper: https://arxiv.org/abs/1802.08979
• vegnus
  If you could get Termy to code, you'd be a rich man
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  dmos62
  It would make sense to have this integrate with a self-learning routine for an agent: e.g. at night it looks through what it did and writes NPC-Forge recipes. Tomorrow it can answer queries (which he turned added to NPC-Forge) without an LLM. Of course this implies a branching where a query is either processed by NPC-Forge or an LLM, depending on some measure of confidence that NPC-Forge can answer it well.
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  gioscarab
  Hi, I am the creator, feel free to ask any questions :)What do you think about it?
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  mbil
  It's kind of antithetical to the tool's deterministic positioning, but have you considered making TERMy leverage an LLM for unseen or low-confidence queries, and then generate the config and update itself to make future similar queries deterministic?
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  indigodaddy
  So is this kind of like a super-powered tealdeer ?
• nirmeet011011
  [flagged]