Highlights
- Pro
major
a curated list of high-quality papers on resource-efficient LLMs 🌱
[TMLR 2024] Efficient Large Language Models: A Survey
Paper list for Personal LLM Agents
This repo aims to record resource of role-playing abilities in LLMs, including dataset, paper, application, etc.
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.
A natural language interface for computers
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
SWE-bench [Multimodal]: Can Language Models Resolve Real-world Github Issues?
Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"
API to run VirtualHome, a Multi-Agent Household Simulator
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set …
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
A Home Assistant integration & Model to control your smart home using a Local LLM
A flexible, high-performance 3D simulator for Embodied AI research.
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Source Code for VirtualHome environment
LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents (ICLR 2024)