LLM training in simple, raw C/CUDA

a state-of-the-art-level open visual language model | 多模态预训练模型

🚀 KIMI AI 长文本大模型逆向API【特长：长文本解读整理】，支持高速流式输出、智能体对话、联网搜索、长文档解读、图像解析、多轮对话，零配置部署，多路token支持，自动清理会话痕迹，仅供测试，如需商用请前往官方开放平台。

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

Training LLMs with QLoRA + FSDP

Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Browse the web with GPT-4V and Vimium

AI agent using GPT-4V(ision) capable of using a mouse/keyboard to interact with web UI

Set-of-Mark Prompting for GPT-4V and LMMs

[NeurIPS'23 Spotlight] "Mind2Web: Towards a Generalist Agent for the Web"

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.

AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

LLM inference in C/C++

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Llama-3 agents that can browse the web by following instructions and talking to you

llama3 implementation one matrix multiplication at a time

Agentless🐱: an agentless approach to automatically solve software development problems

Code for the paper 🌳 Tree Search for Language Model Agents

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

Large Action Model framework to develop AI Web Agents

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.