loopgpt | babyagi | |
---|---|---|
20 | 33 | |
1,391 | 19,239 | |
- | - | |
8.5 | 5.5 | |
about 2 months ago | 12 days ago | |
Python | Python | |
MIT License | 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.
loopgpt
-
[P] LoopGPT Update - Finally something useful?
So we thought it would be a good idea to create a framework that makes use of LoopGPT agent's memory and custom tooling capabilities. Let's jump right into the new features of this framework.
-
April 2023
LoopGPT Modular Auto-GPT Framework (https://github.com/farizrahman4u/loopgpt)
-
Has anyone set Auto GPT with the Azure OpenAI service?
We just added Azure OpenAI support on our modular reimplementation of Auto-GPT: LoopGPT. And I think it's much easier to setup using our python API because you can just use the copy-paste that you can get from "View code" on the Chat Playground on Azure. Here's the whole snippet that you need to use.
-
How do I get autogpt to start exactly where it left off?
I suggest using LoopGPT, a GPT-3.5 friendly, modular re-implementation of Auto-GPT (this is self-promotion, I am a co-author FYI :). We have full state serialization which means you can save your agent state completely and start right from where you left off. To get started just do
-
Machine Learning Engineer Answers Your Questions Episode 2
As another MLE, who's working on an Auto-GPT inspired project, I want to say that I totally understand this technology (atleast with GPT-3.5) is not great. This is why we focused on building a better codebase, which is extensibile, modular and is just an overall more "Pythonic" reimplementation of Auto-GPT rather than trying to claim to be perfect. Although, I must mention that people have had better results with LoopGPT with both GPT-3.5 and GPT-4, and we don't even have GPT-4!
-
is GPT 4 api necessary ?
I suggest you try LoopGPT - It works better on GPT-3.5 according to many users. We have a nice little discord too where you can post any issues: https://discord.gg/rqs26cqx7v
-
Can not install Auto GPT(as well as Baby AGI)...
Glad you got it figured out. Please also try out LoopGPT if you can - it works better with GPT-3.5
-
crap-gpt?
This 100%. Also, AutoGPT is not the best option when you want to add more capability, LoopGPT is as it has a framework to easily add more capabilities (called tools).
- cant get autogpt to run :/
-
LLaMA support on LoopGPT
We recently released a GPT-3.5-friendly reimplementation of Auto-GPT, a "Pythonic" modular framework called LoopGPT that supports adding custom tools. Our first-time users tell us it produces better results compared to Auto-GPT on both GPT-3.5 as well as GPT-4.
babyagi
-
AGI has, in some sense, been achieved: Tell me why I am wrong
Define agency. Does AutoGPT or BabyAGI fit the definition?
-
Overview: AI Assembly Architectures
BabyAGI: github.com/yoheinakajima/babyagi
-
List of Awesome AI Agents like AutoGPT and BabyAGI / Many open-source Agents with code included!
In my opinion the most interesting Agents: Auto-GPT Github: https://github.com/Significant-Gravitas/Auto-GPT BabyAGI Github: https://github.com/yoheinakajima/babyagi Voyager Github: https://github.com/MineDojo/Voyager / Paper: https://arxiv.org/abs/2305.16291 I would also add: ChemCrow: Augmenting large-language models with chemistry tools Github: https://github.com/ur-whitelab/chemcrow-public/ Paper: https://arxiv.org/abs/2304.05376
- Weaviate as Vector Database in BabyAGI
- BabyAGI
-
What innovations/discoveries have come out because/since the release of LLMS since the gain of popularity in the last 5ish months?
People also have been trying to build multi-agent and task-planning systems. MS research in Asia seems to produce decent results with Task Matrix and HuggingGPT. Similar things have been tried in the form of Auto-GPT and BabyAGI , but both projects are setting their goal so high that they may not achieve the at all, and they are likely to see a complete rework when multi-modal solutions become widespread.
-
Palantir in the world of Generative AI
Joke's on you, /u/ILoveThisPlace is actually just a bot responding using the BabyAGI script, we've all been had!
-
autogpt-like framework?
BabyAGI AI-Powered Task Management for OpenAI + Pinecone or Llama.cpp
-
What’s with the fear?
Yes, we haven't seen anything like that yet. But we do see the people trying to build these things (see AutoGPT, babyagi, ChaosGPT, etc) today, and with the last few years of advancement in LLMs they now have the fundamental building blocks to succeed in the near term (say the next 5 years) rather than in some imaginary far future.
-
Could an AI learn things or discover things humans have not been able to understand or not discovered yet?
You should check out some of the projects that combine LangChain with LLMs to automate this process like BabyAGI (https://github.com/yoheinakajima/babyagi) and AutoGPT (https://github.com/Significant-Gravitas/Auto-GPT). They were originally designed around ChatGPT models but have expanded to include llamacpp as an alternative. These provide your language models with the ability to save long term memory, a goal-oriented task list and extra functionality like surfing the web and, in some cases, creating and modifying files on disk.
What are some alternatives?
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.
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/AutoGPT]
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
AgentGPT - 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
deepdoctection - A Repo For Document AI
simpleAI - An easy way to host your own AI API and expose alternative models, while being compatible with "open" AI clients.
AGiXT - AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.