AgentOoba
guidance
AgentOoba | guidance | |
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10 | 6 | |
172 | 43 | |
- | - | |
7.8 | 9.0 | |
8 months ago | 11 months ago | |
Python | Jupyter Notebook | |
MIT License | MIT License |
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AgentOoba
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Could autogpt functionality be implemented?
Something similar was implemented here: https://github.com/flurb18/AgentOoba
- Can someone explain why there isn't a good interface for the oobabooga api in langchain?
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AgentOoba v0.2 - Custom prompting
Github
- Weekly Megathread - 14 May 2023
- What features would everyone like to see in oog?
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autogpt-like framework?
Take a look at https://github.com/flurb18/AgentOoba. It's still missing some pieces but it appears they're being worked on..
- An autonomous AI agent extension for Oobabooga's web ui
- AgentOoba v0.1 - better UI, better contextualization, the beginnings of langchain integration and tools
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Introducing AgentOoba, an extension for Oobabooga's web ui that (sort of) implements an autonomous agent! I was inspired and rewrote the fork that I posted yesterday completely.
Right now, the agent functions as little more than a planner / "task splitter". However I have plans to implement a toolchain, which would be a set of tools that the agent could use to complete tasks. Considering native langchain, but have to look into it. Here's a screenshot and here's a complete sample output. The github link is https://github.com/flurb18/AgentOoba. Installation is very easy, just clone the repo inside the "extensions" folder in your main text-generation-webui folder and run the webui with --extensions AgentOoba. Then load a model and scroll down on the main page to see AgentOoba's input, output and parameters. Enjoy!
guidance
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Would local LLMs in the future be able to run an Ai powered single player roleplaying adventure game in a customized world?
There is also a fork to allow easy use with llama.cpp: https://github.com/Maximilian-Winter/guidance (use his matching llama-cpp-python fork as well). You can also use it with GPTQ for GPU-accelerated GPTQ-quantized models.
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Can someone explain why there isn't a good interface for the oobabooga api in langchain?
Did you see that someone had ported guidance to llamacpp? I saw someone trying to make it happen with ooga but I don't think they are as far as the llamacpp guy got. https://github.com/Maximilian-Winter/guidance
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Best model for game "AI agent"?
Something like this with Manticore13B or some of the models you've already tried: https://github.com/Maximilian-Winter/guidance
- Hi community, I created a fork of microsoft's guidance and added llama-cpp-python support!
What are some alternatives?
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.
agnai - AI Agnostic (Multi-user and Multi-bot) Chat with Fictional Characters. Designed with scale in mind.
EdgeGPT - Extension for Text Generation Webui based on EdgeGPT, a reverse engineered API of Microsoft's Bing Chat AI
gptq-cuda-api
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
llama-cpp-python - Python bindings for llama.cpp
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
GPTQ-for-LLaMa-API - Provide a way to use the GPT-QLLama model as an API
llama_generative_agent - A generative agent implementation for LLaMA based models, derived from langchain's implementation.
learn-langchain
Auto-Llama-cpp - Uses Auto-GPT with Llama.cpp
babyagi