Auto-GPT
easy-chat
Auto-GPT | easy-chat | |
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104 | 7 | |
72,359 | 61 | |
- | - | |
9.8 | 7.3 | |
about 1 year ago | about 1 year ago | |
Python | JavaScript | |
MIT License | - |
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.
Auto-GPT
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How I am catching up with AI
A few notable examples of these leaps in AI technology include GPT-3.5, GPT-4, ChatGPT, Midjourney, Dall-e 2, AutoGPT, and Github Next.
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How to install Auto-GPT on Mac
Why did you clone git clone https://github.com/Torantulino/Auto-GPT.git instead of https://github.com/Significant-Gravitas/Auto-GPT.git Does it matter?
- [Termux] Comment exécuter Auto-GPT sur Android?
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Don’t Build Your House on Someone Else’s Land
You can also use the API key with tools such as TypingMind and Auto-GPT.
- [Chatgptpro] Auto-GPT (intento de código abierto para hacer que GPT4 sea completamente autónomo)
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[Machine Learning] [D] Que pensez-vous de ce problème sur Auto-GPT?
[https://github.com/torantulino/auto-gpt/issues/475
- [Chatgptpro] Auto-GPT (open source tente de rendre GPT4 entièrement autonome)
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How do I update Auto GPT ?
git clone --branch stable https://github.com/Torantulino/Auto-GPT.git $ git pull $ pip3 install -r requirements.txt
- [Singularity] Chaos GPT: Utilisation de l'auto-GPT pour créer un agent d'IA hostile mis sur la destruction de l'humanité
- FLiPN-FLaNK Stack Weekly for 17 April 2023
easy-chat
- Six tips for better coding with ChatGPT
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Show HN: Aider, a command line GPT coding copilot
You can ask GPT for new features, improvements, and bug fixes and aider will directly apply the changes to your source files. Each change is automatically committed to git with a sensible commit message. These frequent, automatic commits provide a comforting safety net. You can confidently collaborate with aider, because it's easy to use git to undo missteps or manage a long series of changes.
You can find out more about aider on GitHub: https://github.com/paul-gauthier/aider
I was initially using GPT to generate code snippets with the OpenAI web chat UI and generic ChatGPT command line tools like `aichat`. But that involved a somewhat klunky workflow where I had to cut and paste code into ChatGPT and then back into my source files.
I streamlined my process while developing a children's chat interface called EasyChat (https://github.com/paul-gauthier/easy-chat). I adopted a "whole file in, whole file out" workflow. I would send GPT-3.5 the entire source code of my project along with a change request and had it reply with the modified version of all the code. This approach was way less tedious than cutting and pasting code between the chat and my source files. I had some simple command line tooling to feed source files to GPT, overwrite them with GPT's modified version and display diffs. This workflow was also quite reliable: GPT-3.5 could consistently produce the code changes I requested without getting lost or confused. But it was slow waiting for GPT to retype all the code, and I quickly hit context window limits asking GPT to read and rewrite every line of the entire codebase.
Access to the GPT-4 API really unlocked a lot of possibilities for improving my tooling. GPT-4 is much better than GPT-3.5 at following directions and replying in a stable, parsable format. Aider still sends GPT-4 entire source files, but asks for replies in a concise `diff` like format. Aider automatically applies these diffs to the source files and git commits them with a GPT generated commit message. Aider lets you easily manage which of your source files are "in the chat session" to control how much code you send to GPT-4 with each request. The ability to reply with diffs makes it much less likely to overflow GPT-4's larger context window.
The resulting workflow is quite effective. You can bounce back and forth between the aider chat and your editor to collaborate on code changes. Aider's code changes aren't always perfect, but wow they are great for blasting through boilerplate or quickly integrating unfamiliar libraries or packages into your code. And if you don't like a code edit, you can quickly discard it by typing `/undo` into the chat.
I now use aider as a force multiplier for a lot of my coding. I even use aider to improve the tool itself.
Let me know if you try aider and find it helpful.
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Using ChatGPT to generate a GPT project end-to-end
I had chat gpt 3.5 build a small web app for me too. I have since been building some tooling for this sort of GPT-assisted programming.
https://github.com/paul-gauthier/easy-chat
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Show HN: Promptr, let GPT operate on your codebase and other useful goodies
GPT is significantly better at modifying code when following this "all code in, all code out" pattern. This pattern has downsides: you can quickly exhaust the context window, it's slow waiting for GPT to re-type your code (most of which it hasn't modified) and of course you're running up token costs. But the ability of GPT to understand and execute high level changes to the code is far superior with this approach.
I have tried quite a large number of alternative workflows. Outside the "all code in/out" pattern, GPT gets confused, makes mistakes, implements the requested change in different ways in different sections of the code, or just plain fails.
If you're asking for self contained modifications to a single function, that's all the code that needs to go in/out. On the other side of the spectrum, I had GPT build an entire small webapp using this pattern by repeatedly feeding it all the html/css/js along with a series of feature requests. Many feature requests required coordinated changes across html/css/js.
https://github.com/paul-gauthier/easy-chat#created-by-chatgp...
Another HN user has also released a command line tool along these lines called gish:
https://github.com/drorm/gish
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ChatGPT Is a Calculator for Words
Gish looks really nice. I'm going to give it a try.
It seems like you've been using similar workflows to what I've been trying for coding with gpt?
https://github.com/paul-gauthier/easy-chat#created-by-chatgp...
- A ChatGPT UI for young readers, written by ChatGPT
What are some alternatives?
gpt4all - gpt4all: run open-source LLMs anywhere
aider - aider is AI pair programming in your terminal
llama.cpp - LLM inference in C/C++
AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
whisper-writer - 💬📝 A small dictation app using OpenAI's Whisper speech recognition model.
babyagi
playlist-gpt - 🎶👩💻 A fun little web app that analyzes your Spotify playlists with help from OpenAI's language models.
AgentGPT - 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
llmo - Your friendly terminal-based AI pair programmer
SuperAGI - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
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