Voyager
ChatDev
Voyager | ChatDev | |
---|---|---|
53 | 10 | |
5,199 | 23,460 | |
2.3% | 11.5% | |
4.7 | 9.5 | |
about 2 months ago | 5 days ago | |
JavaScript | Shell | |
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.
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.
ChatDev
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AutoGen: Enable Next-Gen Large Language Model Applications
Check https://github.com/OpenBMB/ChatDev out, they simulate personas in a company and build products by simulating the interactions.
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[task] Looking for someone with experience in chatgpt
Hey I have being playing with Chatdev for a long time now, and I am looking for customization on the company config file, I am pretty busy so I can't do that on my own time I have already customized for two tasks but I am looking to do that for more than one task. I can pay 5-20$ depending on the customization length and how much time it takes you to do so
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I will pay you to customize ChatDev for me
Hey I have being playing with Chatdevfor a long time now,
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AI hype is built on high test scores. Those tests are flawed
Exactly and things are actually getting crazy now. For some reason this hasn't reached the frontpage on HN yet: https://github.com/OpenBMB/ChatDev
Making your own "internal family system" of AI's is a making this exponential (and frightening), like an ensemble on top of the ensemble, with specific "mindsets", that with shared memory can build and do stuff continuously.
I remember a couple of comments here on HN when the hype began about how some dude had figured out how to actually make an AGI - can't find it now, but it was something about having multiple AIS, discoursing with a shared memory - and now it seems to be happening.
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[D] Are there examples of AI-written projects actively maintained/worked on by humans?
I've seen a rising trend in these "ChatDev"-like projects (https://arxiv.org/abs/2307.07924, their github is https://github.com/OpenBMB/ChatDev) that can "assemble a team of AIs" to build a complete project, such as a snake game. The possible projects it can build are rather limited, and the "team" is really a chat dialogue. But it does in fact generate runnable code with some underlying system design philosophy.
- FLaNK Stack Weekly 2 October 2023
- Show HN: ChatDev – Simulating a software company with LLMs
- Communicative Agents for Software Development
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FLaNK Stack Weekly for 12 September 2023
https://github.com/OpenBMB/ChatDev?
What are some alternatives?
GITM - Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
FLaNK-HuggingFace-BLOOM-LLM - https://huggingface.co/bigscience/bloom into NiFi
tree-of-thought-llm - [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
minum - A minimalist Java web framework built from scratch
mineflayer - Create Minecraft bots with a powerful, stable, and high level JavaScript API.
LLM-Finetuning-Hub - Toolkit for fine-tuning, ablating and unit-testing open-source LLMs. [Moved to: https://github.com/georgian-io/LLM-Finetuning-Toolkit]
llm-awq - [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
RecipeUI - Discover, test, and share APIs in seconds
gorilla - Gorilla: An API store for LLMs
kafkaflow - Apache Kafka .NET Framework to create applications simple to use and extend.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
initializr - A quickstart generator for Spring projects