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Gorilla-CLI: LLMs for CLI including K8s/AWS/GCP/Azure/sed and 1500 APIs

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71–73 of 73 posts

Re: Gorilla-CLI: LLMs for CLI including K8s/AWS/GCP/Azure/sed and 1500 APIs

#71

Is it weird I'm kind of more interested in this included "go_questionary" library?

Actually I was also recently looking for a good Python library to make nice terminal UIs , for example to present a list of choices and let user use arrow keys or integers to select options, and ran into Questionary (Python version). A similar interface is used by the excellent “gh” (GitHub) cli tool, not sure which library they use (and may not even be a Python lib)

Do folks recommend Questionary as a good Python command line UI tool? I really like Rich but it goes not have this type of selection UI.

Re: Gorilla-CLI: LLMs for CLI including K8s/AWS/GCP/Azure/sed and 1500 APIs

#72
post #51

We've gone full circle: efficient meta languages back to inefficient and ambivalent natural language.

I'm endlessly amused by the fact that among the first applications of LLMs were tools to summarise emails, accompanied by tools to write your emails based on a short description of what you want to say. So soon we'll effectively be communicating by text message, with the LLMs acting as a sort of anti-compression in between. My brother lives in Japan, and he recently had to write a lot of emails to the company renovat…

That's actually a very sensible use case!

Re: Gorilla-CLI: LLMs for CLI including K8s/AWS/GCP/Azure/sed and 1500 APIs

#73

It's not a local model. It queries some endpoint on someone else's computer.

Yes indeed. The models are too computationally expensive to run locally (7.5Billion parameters). Though you could in-principle swap in any local model.

What are you talking about? 7b parameter models run insanely fast if you can offload to gpu, and are entirely reasonable speed if CPU only.
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