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

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61–70 of 73 posts

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

#62

Giving anyone who can type full system admin abilities without any need for training? What could go wrong?

No commands are executed without the users explicit approval! So, you could always execute any command anyways if you had access to the terminal!

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

#63
Would really like it if ML projects would declare upfront if you're using cloud models or local ones. A lot of work policies bar us from using externally generated code or inputting business data into external systems.

(as it happens, this one hits the cloud)

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

#64

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

I think the use cases are where you roughly remember the commands but not the full command. Like rather than you looking up a man page you could potentially use this. An expert in one field may not be in another, so they might also find this useful!

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

#65

Would really like it if ML projects would declare upfront if you're using cloud models or local ones. A lot of work policies bar us from using externally generated code or inputting business data into external systems. (as it happens, this one hits the cloud)

Thanks for the feedback, @satokema. We currently mention it in our GitHub, pypi readme, and at install. Would you prefer different wording?

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

#66

Would really like it if ML projects would declare upfront if you're using cloud models or local ones. A lot of work policies bar us from using externally generated code or inputting business data into external systems. (as it happens, this one hits the cloud)

Thanks for the feedback, @satokema. We currently mention it in our GitHub, pypi readme, and at install. Would you prefer different wording?

[deleted]

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

#67
post #37

Earlier quoted context omitted.

how often are you using LLMs?

Somehow I knew that this question would come up, questioning the "progress" makes me a heretic. So last 2-3 months I subscribed to ChatGPT4 (and much longer to Copilot), worked through most of the HN threads on tips and reviews, posts I could find on "prompt engineering" and have hundreds of sessions with ChatGPT4. So, I still might have missed something, but I think I have a rather good idea of what's going on. 1. I…

Thank you very much for your ChatGPT4 opinion. Do you think you can write your opinion about Copilot?

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

#68

I use an alternative that just directly calls OpenAI using my API key. I have it mapped to the command `ai` and it works really really well. So far I've found no need for any intermediary or fancy features. It just shows the command with a (y/[N]) prompt and I can choose to run it or not. I use the first tagged version of `aicmd` before it was given an unneeded intermediary: https://github.com/atinylittleshell/aicmd/…

I did this too, way cleaner and faster imo.

Thanks for sharing @iandanforth and @distortionfield, nice project! Are there any additional features, Gorilla can support to make it useful for you folks!

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

#70

Earlier quoted context omitted.

> It's like relying on a calculator. You still need mental math skills to know that 91 * 10 can't equal 2511. Similarly, when GPT starts hallucinating, it helps if you have a high sensitivity to smelling it out. Well, at least my calculators don't have this error rate GPT4 still does. Especially for seemingly simple things like a command flag, I have zero trust if GPT doesn't give me something that will eventually er…

A calculator isn't going to give me error. I don't need to fact check it constantly.

Maybe, but I suspect you're smart and have the intuition to "just know" if something went very wrong. For example, if you multiply 5 by some other integer and the result ends with a 2, you'd just feel it in your gut, no? This is not true for everyone!

It's not uncommon to have folks with reasonable math skills ending up behind a cash register and insisting they're right when such errors occur and I see a high likelihood of this happening with relying on "AI" too. Domain knowledge and good intuition will continue to be valuable.

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