large-language-models

[EMNLP-2024] Build multimodal language agents for fast prototype and production

MiniMax-M2, a model built for Max coding & agentic workflows.

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

mPLUG-Owl: The Powerful Multi-modal Large Language Model Family

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/

A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.

A fast Rust based tool to serialize text-based files in a repository or directory for LLM consumption

使用 Prompts 和 Chains 让 ChatGPT 成为神奇的生产力工具！Unlocking the power of LLMs.

The Self-Coding System for Your App — Alan AI SDK for Web

A simple, performant, and scalable Jax LLM!

Mastering Applied AI, One Concept at a Time

Machine Learning Journal for Intermediate to Advanced Topics.

Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with your peers.

Label, clean and enrich text datasets with LLMs.

[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...

[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html