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Given that they're just using it to avoid the googling for bash command syntax, I'm not sure they'll save in the end against the 140k training examples they generated.
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Good observation! It would have to be offset with O(140k) queries to the model, which is, well, unlikely.
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Just like with OSS in general, being able to distribute it is what makes the effort worthwhile.

This particular example is maybe a niche, but 1400 people can use a few hundred queries in a reasonable amount of time.

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If it's about the latency / flow disruption, spending a few hours once could easily be worth it if the result is actually good enough to skip googling/retries.
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you can probably generate quite a few example pairs in a single shot, you also likely don't need the best models for this either
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This is so cool - I'm aware of this in a vague way. Can you write a little tutorial or give some good links. I want this to be the next new things I do :)
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Better yet package it up in a skill!
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