visual-chatgpt
devenv
visual-chatgpt | devenv | |
---|---|---|
50 | 90 | |
31,684 | 3,444 | |
- | 6.5% | |
8.9 | 9.8 | |
about 1 year ago | 9 days ago | |
Python | Nix | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
visual-chatgpt
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Subtler Flex
For prompting, the GitHub repo I refer to the most is actually one from Microsoft: https://github.com/Microsoft/Visual-ChatGPT
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OpenDILab Awesome Paper Collection: RL with Human Feedback (1)
Found relevant code at https://github.com/microsoft/visual-chatgpt + all code implementations here
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[R] Low-code LLM: Visual Programming over LLMs - Yuzhe Cai et al , Microsoft Research Asia 2023
Github: https://github.com/microsoft/visual-chatgpt/tree/main/LowCodeLLM will soon be available!
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It's been a week and there's already front ends for auto GPT. Is anyone else having a hard time keeping up with the take off? Are we seeing what exponential looks like?
It's not so much the size of the LLMs, it's what people are able to do with them in novel ways, e.g. https://github.com/microsoft/visual-chatgpt/tree/main/TaskMatrix.AI
- Taskmatrix.ai
- Introducing JARVIS : the new Microsoft's autonomous AI powered by HuggingGPT and ChatGPT.
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How to make ChatGPT run tasks
There is a python library langchain, which microsoft used to give it access to image editing tools. You can write your own tools for it very easily, I've been having fun with it. I gave it internet search tools and it worked great at using current events in the response.
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An AI researcher who has been warning about the technology for over 20 years says we should 'shut it all down,' and issue an 'indefinite and worldwide' ban.
Something like this: https://github.com/microsoft/visual-chatgpt/tree/main/TaskMatrix.AI could enable a far simpler AI to start making copies of itself.
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HuggingGPT: Solving AI Tasks with ChatGPT and Its Friends in HuggingFace
Reminds me of VisualChatGPT (https://github.com/microsoft/visual-chatgpt), which also uses a LLM to decide what vision models to run.
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ChatGPT is Inform8: interactive fiction with dual narration and action planes (both playable), dialogues, inner thoughts and the ability to argue about narration to change the course of action.
The best Microsoft API or overall API? It really depends what your goal is. https://github.com/huggingface is great if you want to dive right in, but https://github.com/microsoft/visual-chatgpt might be good as well (not easy to get to work locally).
devenv
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Install Asdf: One Runtime Manager to Rule All Dev Environments
Sounds like nix using devenv[1] also would solve this problem.
https://devenv.sh/
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Show HN: Is_ready – Wait for many services to become available – 0 Dependencies
It works on MacOS/Windows, unlike systemd. Therefore it's well suited for development environment setups for polyglot teams.
https://devenv.sh/ is one example that uses it to do just that.
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Fast, Declarative, Reproduble and Composable Developer Environments Using Nix
I gave devenv multiple tries, and I am sorry to say there are multiple annoying issues that forced me to give up every time.
Some of these 200+ issues are unsolved for a fairly long time.
https://github.com/cachix/devenv/issues
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Nix – A One Pager
Software developers often want to customize:
1. their home environments: for packages (some reach for brew on MacOS) and configurations (dotfiles, and some reach for stow).
2. their development shells: for build dependencies (compilers, SDKs, libraries), tools (LSP, linters, formatters, debuggers), and services (runtime, database). Some reach for devcontainers here.
3. or even their operating systems: for development, for CI, for deployment, or for personal use.
Nix provision all of the above in the same language, with Nixpkgs, NixOS, home-manager, and devShells such as https://devenv.sh/. What's more, Nix is (https://nixos.org/):
- reproducible: what works on your dev machine also works in CI in prod,
- declarative: you version control and review your configurations and infrastructure as code, at a reasonable level of abstraction,
- reliable: all changes are atomic with easy roll back.
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Show HN: Lapdev, a new open-source remote dev environment management software
https://devenv.sh/ and nix in general are great for setting up dev environments.
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Show HN: Flox 1.0 – Open-source dev env as code with Nix
> but worried that the development is not moving forward
There is an open v1.0 PR: https://github.com/cachix/devenv/pull/1005
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What's the Next Vagrant?
2) A way to run services apps depend on (databases, job runners, cache etc).
I am going to suggest one of the Nix based tools that do those things:
- https://devenv.sh/ (I use this at work)
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Ask HN: How can I make local dev with containers hurt less?
Yup, I haven’t tried it but there is https://devenv.sh which is built on top of nix and makes it simple.
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Flakes aren't real and cannot hurt you: using Nix flakes the non-flake way
Although Guix reads better than Nix (after all, it's Lisp), I found the support and resources available for learning severely lacking.
Plus, you have to jump through hoops to install non-free software, which goes against the ethos of Guix anyway.
IMHO, Nix is clearly "the winner" here and we'll see more and more adoption as it improves. Lots of folks are doing exciting work (see https://determinate.systems/, https://devenv.sh/, https://flakehub.com/). And the scale and organization around nixpkgs is damn impressive.
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NixOS has one fatal flaw
I don't think you can ever get Nix as simple as PNPM, simply because native libraries are sometimes annoying, need to be configured at build time to a greater degree and because the problem space it attacks is so much larger than PNPM, which only deals with the JS/Node.js ecosystem.
However, I do think that there exist reasonable levels of abstraction that sacrifice some expressive power for simplicity and such systems could maybe expose a PNPM-like CLI. One example that comes to mind is devenv.nix [1]. While it doesn't yet have a CLI, its configuration file is YAML and relatively simple. I think there's more to be done in this space and I hope for tools that are easier to grasp in the future.
> Nix package files evaluate down to configuration for the Nix package manager, but I haven’t ever seen a good explanation for the basic essentials underneath all the abstraction. Every guide I’ve learned from and all the package defs I’ve read seem to cargo cult many layers of mysterious config composing config. Without easy to learn essentials it’s difficult to grok the system as a whole.
To me it sounds like the essential that you're referring to is the 'derivation' primitive, which is almost always hidden behind the mkDerivation abstraction from nixpkgs. This [2] blog post is an exploration of what exactly that means.
I'd also love for the documentation situation to be much better, in particular in terms of official, curated resources. But I'm not convinced that you actually need to know the difference between derivation and mkDerivation to make effective use of Nix, because in practice you would always use the latter. That said, mkDerivation and the whole of nixpkgs is essentially a huge DSL (I believe this is what you meant when you said 'config composing config') that you do need to know and is woefully underdocumented.
> I would love to adopt Nix for developer tooling for Notion’s engineers, but today it’s about infinity times easier to work around the limitations mentioned of Docker+Ubuntu+NPM than to work around the limitations of Nix.
One approach I have taken to is to specify the environment in Nix, but then generate Docker devcontainers from it, so most people don't come into contact with Nix if they don't want to.
[1] https://devenv.sh
[2] https://ianthehenry.com/posts/how-to-learn-nix/derivations/
What are some alternatives?
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
devbox - Instant, easy, and predictable development environments
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
nix-direnv - A fast, persistent use_nix/use_flake implementation for direnv [maintainer=@Mic92 / @bbenne10]
roomGPT - Upload a photo of your room to generate your dream room with AI.
direnv - unclutter your .profile
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
devshell - Per project developer environments
minimal-llama
rembg - Rembg is a tool to remove images background
ControlNet - Let us control diffusion models!
nix - Nix, the purely functional package manager