tidybot
git-agent
| tidybot | git-agent | |
|---|---|---|
| 20 | 1 | |
| 490 | 41 | |
| - | - | |
| 6.4 | 5.7 | |
| 6 months ago | 11 months ago | |
| Python | Python | |
| MIT License | MIT License |
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.
tidybot
- TidyBot: Personalized Robot Assistance with Large Language Models
- TidyBot Personalized Robot Assistance with Large Language Models
-
MemGPT: Towards LLMs as Operating Systems
>they've solved reinforcement learning?
Transformers can do Reinforcement Learning yes.
https://arxiv.org/abs/2106.01345
>they can handle continuous domains, like robot motion?
Yes they can handle it just fine.
https://tidybot.cs.princeton.edu/
https://general-pattern-machines.github.io/
https://wayve.ai/thinking/lingo-natural-language-autonomous-...
- Large Language Models as General Pattern Machines. In context, LLMs are capable of completing a wide variety of non linguistic patterns.
-
SuperAlignment
Other examples(in the real world) you might find interesting.
https://tidybot.cs.princeton.edu/
- Создан робот-уборщик, который самообучается наводить порядок именно так, как нравится вам. Видео.
-
Is Amazon's newly announced home robot, in development & codenamed 'Burnham', unambitious and already behind the times?
It's striking how quickly robotics is developing in 2023. Two recent demonstrations from DeepMind & a Princeton team, show relatively cheap simple robots acquiring the ability to manipulate objects in the physical world. If you're going to be developing cutting-edge robots in 2023 - surely it would plan to incorporate this?
- What are the most impressive companies trying to create real world AI (real world navigation, object manipulation etc.)?
git-agent
What are some alternatives?
MemGPT - Create LLM agents with long-term memory and custom tools 📚🦙
gpt-code-ui - An open source implementation of OpenAI's ChatGPT Code interpreter
spacy-llm - 🦙 Integrating LLMs into structured NLP pipelines
funcchain - ⛓️ build cognitive systems, pythonic
Voyager - An Open-Ended Embodied Agent with Large Language Models
SmartCommit - Automatically generate concise and meaningful Git commit messages from your staged changes using AI.
FlexGen - Running large language models like OPT-175B/GPT-3 on a single GPU. Focusing on high-throughput generation. [Moved to: https://github.com/FMInference/FlexGen]
twitter-agent - Build AI-powered Agents for Twitter🐣
dialop - DialOp: Decision-oriented dialogue environments for collaborative language agents
gpt-commit - Generate commit messages using ChatGPT
evals - Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
keras-gpt-copilot - Integrate an LLM copilot within your Keras model development workflow