baritone
Voyager
baritone | Voyager | |
---|---|---|
83 | 53 | |
6,730 | 5,234 | |
1.6% | 1.6% | |
8.8 | 4.7 | |
7 days ago | 2 months ago | |
Java | JavaScript | |
GNU Lesser General Public License v3.0 only | MIT License |
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baritone
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Is it possible to use a local LLM and have it play Minecraft?
Check out Baritone, most of the hard work has already been done: https://github.com/cabaletta/baritone
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Baritone API 1.9.3 implementation in Fabric mod
I've recently started creating mods in Fabric and I wanted to add the Baritone API (for 1.19.4) in my project. I've downloaded this file from the reposatory (https://github.com/cabaletta/baritone/releases/download/v1.9.3/baritone-api-fabric-1.9.3.jar). How can I access the .jar methods such as BaritoneAPI.getSettings() using Intellij Idea? PS: I have tried going into File > Project Structure > Libraries > Add Project Library, then selecting the .jar file and reloading All Gradle Projects, but it still doesn't seem to detect the jar. I might be missing something obvious. I've tried looking everywhere online but I couldn't find any fabric implementation.
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Autominer mod?
Here's the download. If you're using 1.19.4, make sure you download version 1.9.3, even though 1.9.4 is newer. There are Forge and Fabric versions available, so should be as simple as downloading it and dragging it into a mods folder. It might take a bit to figure out the commands, but there's a ton of documentation available.
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Does impact work with phobos?
impact isn't very good and phobos is a bit outdated by now, you should use 3arthh4ck from https://github.com/3arthqu4ke/3arthh4ck. you can install baritone as a normal forge mod from https://github.com/cabaletta/baritone. lambda you already have, and lambda also has some sort of baritone support/features so you should just stop using impact and stick to 3arth+lambda.
- Show HN: Learn Python with Minecraft
- Ive reconnected - been here for like 2 minutes and its just not loading but i can walk on it
- Bep
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BARITONE FOR FACTORIO
Baritone - mod for Minecraft that automates players actions ie. moving from A to B, mining building etc.
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Cheat/client that bypasses akumamc - Prisons
baritone 1.12 jar
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How to get baritone to dig in a straight line (pickaxe in nether)
I'd also suggest you to check out the baritone documentation on GitHub: https://github.com/cabaletta/baritone/blob/master/USAGE.md
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?
litematica-printer - An extension for Litematica that adds the missing printer functionality for 1.19, 1.18 and 1.17
GITM - Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
meteor-client - Based Minecraft utility mod.
tree-of-thought-llm - [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
tenor
mineflayer - Create Minecraft bots with a powerful, stable, and high level JavaScript API.
gamesense-fabric - Minecraft 1.16.5 Utility Mod for Anarchy and Crystal PvP
llm-awq - [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
minecraft-world-downloader - Download Minecraft worlds, extend server's render distance. 1.12.2 - 1.20.4
gorilla - Gorilla: An API store for LLMs
creepy-salhack - Minecraft utility mod (real)
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ