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ModelScope-Agent: An agent framework connecting models in ModelScope with the world
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.
DSPy: The framework for programming—not prompting—foundation models
Enjoy the magic of Diffusion models!
Wiseflow is an agile information mining tool that extracts concise messages from various sources such as websites, WeChat official accounts, social platforms, etc. It automatically categorizes and …
Mobile-Agent: The Powerful Mobile Device Operation Assistant Family
A massively parallel, high-level programming language
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫
A repo of every emoji icon as a separate file and commit.
Marks issues and pull requests that have not had recent interaction
A one-stop data processing system to make data higher-quality, juicier, and more digestible for (multimodal) LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud.
Start building LLM-empowered multi-agent applications in an easier way.
A repo lists papers related to LLM based agent
A simple and easy to use PID controller in Python
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
ms-swift: Use PEFT or Full-parameter to finetune 300+ LLMs or 50+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3, Llava-Video, Internvl2, MiniCPM-V, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)
ModelScope: bring the notion of Model-as-a-Service to life.
QLoRA: Efficient Finetuning of Quantized LLMs
基于达摩院在深度学习、计算机视觉、地理空间分析等方向上的技术积累，结合阿里云强大算力支撑，提供多源对地观测数据的云计算分析服务，用数据感知地球世界，让AI助力科学研究。
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models