Rust gpt-3

Open-source Rust projects categorized as gpt-3
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Topics: Rust openai AI chatgpt Gpt
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Top 17 Rust gpt-3 Projects

  • ChatGPT

    🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

    • Project mention: What AI assistants are already bundled for Linux? | news.ycombinator.com | 2024-03-01

    > I wouldn't hold my breath waiting for a native Linux AI-assisted assistant.

    On Mac when I press Command + Space, it brings up Spotlight search

    That can't easily be added to be the equivalent of some kind of LLM prompt on GNOME/KDE/XFCE?

    I don't quite know what you'd ask it/do with it that would be of much value? Seems like a quicker way/a wrapper around either asking an LLM questions via CLI or basically Electron wrapping HTML (like this https://github.com/lencx/ChatGPT)?

  • chat-ai-desktop

    Unofficial ChatGPT desktop app for Mac & Windows menubar using Tauri & Rust

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • smartgpt

    A program that provides LLMs with the ability to complete complex tasks using plugins.

    • Project mention: Smartgpt: A program that provides LLMs ability with complex tasks using plugins | news.ycombinator.com | 2023-08-28

  • hoard

    cli command organizer written in rust (by Hyde46)

  • rusty

    AI-powered CLI tool to help you remember bash commands.

  • gwipt

    Automatically commit all edits to a wip branch with GPT-3 commit messages

  • gpt-cli

    Run linux commands with natural language. Eg.: "show my graphic card" instead "lspci | grep VGA" (by gustawdaniel)

  • InfluxDB

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  • houston

    Simple GPT-based command and script generator for the terminal (by npgrosser)

  • rustgpt

    Yet another command-line chat GPT frontend written in Rust.

  • auto-rust

    auto-rust is an experimental project that aims to automatically generate Rust code with LLM (Large Language Models) during compilation, utilizing procedural macros.

    • Project mention: Introducing Auto-Rust: An Experimental Project to Generate Rust Code with LLMs using Procedural Macros | /r/rust | 2023-05-06

    I've been working on a side project called Auto-Rust, an experimental project that aims to automatically generate Rust code using Large Language Models (LLMs) during compilation with the help of procedural macros and OpenAI API. I'd appreciate any feedback or suggestions from the Rust community. Check out the project here: https://github.com/minskylab/auto-rust.

  • gpt-feeder

    🦀 A command-line application that scans the entire codebase, and produces one string consisting of all filenames and file contents that you want included.

  • clerk

    LLM based file organizer (by blankenshipz)

    • Project mention: Show HN: Out-of-the-box text classification models | news.ycombinator.com | 2024-03-18

    This is fantastic, but as you note on your launch page, people are going to need custom topic taxonomies. We use several custom ones, maintained as YAML that non-technical users can edit.

    I'm guessing from having been looking for a project like yours for a decade now, that it's that custom taxonomy problem that means most OOTB don't work for people, so they make their own which they don't open source because they ended up ... tailoring ... a topic text classifier for themselves.

    The only thing I've found close to this "OOTB" is:

    https://cloud.google.com/natural-language/docs/classifying-t...

    https://cloud.google.com/natural-language/docs/categories#ca...

    And, to be frank, I can't see why I'd send my confidential information to you when I can send it to Google. (Ahem!)

    But the problem with theirs and yours is the OOTB categories are for a global topic set, something like Yahoo directory, rather than for a given discipline.

    I've found the general lists, like LCM[^1] (what you really want is LCSH subject headings, not LCM[^2]), too broad for my business or personal content, while something like ACM[^3] is more what's needed for, say, computing related content.

    For a firmwide knowledge base at a {field}-tech firm, you have a mix of the firm's focus field, and computing, and a broad scope fallback like you're starting with. Even libraries have their own topic hierarchy! [^4]. Plenty fields have controlled vocabularies[^6], and if you can't find one for a field, you can usually generate one by finding someone who is already classifying that field, and looking at their TOC. All of which is to say, to be generally useful, you have to let people BYOT (bring your own topics) for this.

    For instance, we built our topic list based on combining a reference taxonomy for our field, a reference taxonomy for computing, a reference taxonomy for business books, and the Google NLP tool mentioned above.

    There are occasional tools that try to match arbitrary documents to arbitrary hierarchies such as clerk [^5] but they are challenging for various reasons.

    You have a note to contact you for different topics, but raising this here since so far (6 hours) you had no feedback, and I'm a big fan of what you're doing and the niche is underserved.

    A couple other thoughts:

    Aside from topics taxonomy or hierarchy, we've recently found that something like properties based classification proves needed when we're 10K+ to 100K+ short and long form content documents in the knowledge base. For instance, https://en.wikipedia.org/wiki/Colon_classification, that adds "facets" like time dimension. This is incredibly helpful for relevance while still being able to drill in and just browse a topics/branch/leaf.

    I really like your "intent" classification, far more interesting than sentiment, since it could help separate blog posts from new articles, self-guided tutorials from reviews, and so on: Problem Solving, News, Informational, maybe?. Sifting these to focus a robust KB can be tremendously valuable.

    Your privacy policy is by-and-large useless, since the information being classified is unlikely personal (PII) class, and more likely confidential or non-public (NPI) class.

    You are, effectively, saying "let us have a copy of all info you're classifying", yet nowhere on your main site nor docs site do you explain how you actively prevent yourselves from seeing an API user's information.

    Ideally your "architecture" would explain how you built it to be able to do the work without you being able to see the content, not just a "pinky swear we won't look" sort of promise. Many businesses have their own confidentiality and privacy policies. Those require looping in subprocessors, which is you, and right now you can't be used.

    [^1]: https://en.wikipedia.org/wiki/Library_of_Congress_Classifica...

    [^2]: https://id.loc.gov/authorities/subjects.html

    [^3]: https://en.wikipedia.org/wiki/ACM_Computing_Classification_S...

    [^4]: https://www.ala.org/tools/topics/atoz

    [^5]: https://github.com/blankenshipz/clerk/tree/main

    [^6]: https://pitt.libguides.com/metadatadiscovery/controlledvocab...

  • ai_newsie

    A GPT-powered daily newsletter bot, written in Rust

  • myself

    Myself is a Rust library for building conversational agents powered by LLM technology , providing a simple Agent abstraction to manage interactions and memory. It's like a engine to create LLM Powered Apps.

  • gptask

    Command line client for ChatGPT

    • Project mention: LLM, ttok and strip-tags–CLI tools for working with ChatGPT and other LLMs | news.ycombinator.com | 2023-05-18

    I made a small wrapper too, you call it from the command line and it keeps the conversation context for 15 minutes in a temp file.

    https://github.com/mcdallas/gptask

  • en2tex

    A CLI utility to generate LaTeX mathematical expressions, powered by OpenAI APIs

  • gt

    Using the OpenAI GPT model, one can conveniently access language translation from the command line. (by fukumone)

  • SaaSHub

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Rust gpt-3 related posts

Index

What are some of the best open-source gpt-3 projects in Rust? This list will help you:

Project Stars
1 ChatGPT 46,892
2 chat-ai-desktop 1,954
3 smartgpt 1,724
4 hoard 466
5 rusty 322
6 gwipt 124
7 gpt-cli 69
8 houston 52
9 rustgpt 31
10 auto-rust 24
11 gpt-feeder 22
12 clerk 10
13 ai_newsie 8
14 myself 4
15 gptask 3
16 en2tex 2
17 gt 0

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