Nuggt
Voyager
Nuggt | Voyager | |
---|---|---|
10 | 53 | |
337 | 5,184 | |
0.3% | 2.1% | |
8.0 | 4.7 | |
7 months ago | about 1 month ago | |
Python | JavaScript | |
Creative Commons Zero v1.0 Universal | MIT License |
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Nuggt
- What's the closest thing we have to GPT4's code interpreter right now?
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My experience on starting with fine tuning LLMs with custom data
Yes, there is a lot of potential. You can check this project for agents: https://github.com/Nuggt-dev/Nuggt/ . Currently I only have "simple" projects: mostly 0-shots LLMs to get some responses. Agents are not yet mature enough to be integrated in production environments.
- Show HN: An Autonomous Agent That Runs on Open Source Local LLMs
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[P] Nuggt: A LLM Agent that runs on Wizcoder-15B (4-bit Quantised). It's time to democratise LLM Agents
Check out the Github Repository
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OpenAI: We are disabling the Browse plugin
Things are changing every day. Take a look here: https://github.com/Nuggt-dev/Nuggt This is AutoGPT equivalent using a self hosted model. See what it can do.
- “Autonomous Agents” or “Directed Agents”? What Are the Pros and Cons?
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15-Jun-2023
Automate any task with a single AI Command (https://github.com/Nuggt-dev/Nuggt)
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Github Project: Automate any task with a single AI Command.
Demo Video: https://github-production-user-asset-6210df.s3.amazonaws.com/52075633/244840595-00e7c82c-61fe-4f04-b589-d65b97f441ff.mp4 🔎 Call for Feedback: We invite the community to try out Nuggt and provide valuable feedback. Let us know your thoughts, suggestions, and any improvements you'd like to see. Your feedback will help us shape the future of Nuggt and make it even better. 🔗 Find Nuggt on GitHub (We are looking for collaborators): https://github.com/Nuggt-dev/Nuggt 🌟 Join the Nuggt Discord Server: https://discord.gg/gzdCDM84 💡 Follow our 30 Days 30 Tasks with Nuggt challenge on Twitter: https://twitter.com/OfficialNuggt PS: While our current implementation leverages the power of GPT-3.5, we recognise the need for cost-effective solutions without compromising functionality. Our ongoing efforts involve exploring and harnessing the potential of smaller models like Vicuna 13B, ensuring that task automation remains accessible to a wider audience.
🔗 Find Nuggt on GitHub (We are looking for collaborators): https://github.com/Nuggt-dev/Nuggt
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[P] Automate any task with a single AI command (Open Source)
🌟 Join the Nuggt Community: Get involved, contribute, and join the discussions on our GitHub repository. We're building a vibrant community, and we'd love to have you on board!
Voyager
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Google Launches Gemini, Its "Most Powerful" AI Model to Date
Source: Conversation with Bing, 12/10/2023 (1) Wes Roth - YouTube. https://www.youtube.com/@WesRoth. (2) I've set most of my videos to Public again - Community. https://community.openai.com/t/ive-set-most-of-my-videos-to-public-again/24535. (3) AI Updates: Meta Develops Mind-Reading AI System, OpenAI’s Q* Is Here .... https://www.windermeresun.com/2023/11/20/ai-updates-meta-develops-mind-reading-ai-system-openais-q-is-here-how-economy-will-work-after-agi/. (4) David Shapiro. https://www.daveshap.io/. (5) undefined. https://natural20.com/. (6) undefined. https://arxiv.org/abs/2305.16291. (7) undefined. https://twitter.com/DrJimFan/status/1. (8) undefined. https://voyager.minedojo.org/. (9) undefined. https://minedojo.org/. (10) undefined. https://www.youtube.com/@DavidShapiroAutomator/videos.
- Is there any game that allow us to interact with it by python?
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A Coder Considers the Waning Days of the Craft
> AI cannot sustain itself trained on AI work.
This isn’t true. You can train LLMs entirely on synthetic data and get strong results. [0]
> If new languages, engines etc pop up it cannot synthesize new forms of coding without that code having existed in the first place.
You can describe the semantics to a LLM, have it generate code, tell it what went wrong (i.e. with compiler feedback), and then train on that. For an example of this workflow in a different context, see [1].
> And most importantly, it cannot fundamentally rationalize about what code does or how it functions.
Most competent LLMs can trivially describe what some code does and speculate on the reasoning behind it.
I don’t disagree that they’re flawed and imperfect, but I also do not think this is an unassailable state of affairs. They’re only going to get better from here.
[0]: https://arxiv.org/abs/2309.05463
[1]: https://voyager.minedojo.org/
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AutoGen: Enable Next-Gen Large Language Model Applications
In a way it is the same thing, agents are mostly an abstraction that make it easier to know what’s going on.
I think of agents more or less as python classes with a mixture of natural language and code functions. You design them to do something with information they produce, and to interface with other agents or “tools” in some way.
But all the agents can be the same language model under the hood, they are frames used to build different kinds of contexts.
And yes I think the idea is that emergent behaviour can be useful. This comes to mind
https://github.com/MineDojo/Voyager
But I think we are still a small ways off from being really smart about agents. My opinion is that we haven’t quite figured out what we are doing yet.
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Open/Local LLM support for MineDojo/Voyager
This k8s application deploys an instance of Voyager along with a Fabric Minecraft server with required fabric mods. It assumes you have a local deployment of a Large Language Model (LLM) with 4K-8K token context length with a compatible OpenAI API, including embeddings support.
- Voyager – Minecraft Embodied Agent with Large Language Models
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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
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[D] - Are there any AI benchmarks that involve successful longterm problem solving when running as autonomous agents (like in autogpt)? How do we compare the effectiveness of models as agents?
Does this beat the voyager? I read about it and wondered what if we add a skill library to langchain/llamaindex agents. It could be the same vector store for storing static data but after each task is performed, the agent will evaluate and archive the recipe of steps to perform a new task. Next time when the agent is asked to perform a task, it can just look at the library to retrieve a recipe. Unlike traditional fine tuning, you dont update the model parameters, these recipes are much more interpretable and can be manually edited/inserted by humans. There may also be an automatic way to convert wikihow articles or youtube tutorials into recipes.
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GPT-4 was set free in Minecraft, here's what happened next...
Source. P.S. If you love geeking over AI updates, I have this free newsletter you might want to check out. Thank you!
Source.
What are some alternatives?
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
GITM - Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
simple-proxy-for-tavern
tree-of-thought-llm - [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
lit-gpt - Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed. [Moved to: https://github.com/Lightning-AI/litgpt]
mineflayer - Create Minecraft bots with a powerful, stable, and high level JavaScript API.
llama_index - LlamaIndex is a data framework for your LLM applications
llm-awq - [MLSys 2024] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
instructor-embedding - [ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
gorilla - Gorilla: An API store for LLMs
gpt-code-ui - An open source implementation of OpenAI's ChatGPT Code interpreter
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ