malmo
JARVIS
| malmo | JARVIS | |
|---|---|---|
| 2 | 52 | |
| 4,012 | 23,076 | |
| 0.3% | 0.8% | |
| 0.0 | 7.2 | |
| 5 months ago | 16 days ago | |
| Java | Python | |
| MIT License | MIT License |
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malmo
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Overview: AI Assembly Architectures
Malmo: github.com/malmo
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Project Malmo
Your first stop would probably be the Microsoft landing page - https://www.microsoft.com/en-us/research/project/project-malmo/ followed by the Github page - https://github.com/Microsoft/malmo
JARVIS
- FLaNK Stack 26 February 2024
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Overview: AI Assembly Architectures
Jarvis: github.com/microsoft/JARVIS
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When will we get JARVIS?
You can build it yourself now. https://github.com/microsoft/JARVIS
- How to build the Geth (networked intelligence, decentralized AGI)
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Off-topic: What NVIDIA GPU do I need to run privateGPT or Alpaca-Lora for code translations, debugging, unit tests, etc?
https://github.com/microsoft/JARVIS (when ready says >=24GB VRAM)
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Apple announces Apple Silicon Mac Pro powered by M2 Ultra
Can be. There are projects that run fully locally like Microsoft’s Jarvis. https://github.com/microsoft/JARVIS
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April 2023
JARVIS, a system to connect LLMs with ML community (https://github.com/microsoft/JARVIS)
- Nvidia's GH200 AI supercomputers could build 'giant' AI models more powerful than GPT-4
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A Lightweight HuggingGPT Implementation w/ Langchain + Thoughts on Why JARVIS Fails to Deliver
HuggingGPT is a clever idea to boost the capabilities of LLM Agents, and enable them to solve “complicated AI tasks with different domains and modalities”. In short, it uses ChatGPT to plan tasks, select models from Hugging Face (HF), format inputs, execute each subtask via the HF Inference API, and summarise the results. JARVIS tries to generalise this idea, and create a framework to “connect LLMs with the ML community”, which Microsoft Research claims “paves a new way towards advanced artificial intelligence”.
- Edit videos through intuitive ChatGPT conversations
What are some alternatives?
AgentVerse - 🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
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.
awesome-ai-agents - A list of AI autonomous agents
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
bondai
babyagi
autogen - A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/AutoGPT]
beebot - An Autonomous AI Agent that works
visual-chatgpt - Official repo for the paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models [Moved to: https://github.com/microsoft/TaskMatrix]
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
dalai - The simplest way to run LLaMA on your local machine