Stars
Make your nvim window separators colorful
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
AutoCoA (Automatic generation of Chain-of-Action) is an agent model framework that enhances the multi-turn tool usage capability of reasoning models.
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Software to implement GoT with a weviate vectorized database
[IJCAI 2024] Generate different roles for GPTs to form a collaborative entity for complex tasks.
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
Application to generate user stories from software requirement text using LLM (Large Language Models)
a llm based user story generator to help you create nice user stories
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Agentic system to convert PRD to Epics to Features to User Stories using Microsoft AutoGen
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Seamlessly integrate LLMs into scikit-learn.
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
A modular graph-based Retrieval-Augmented Generation (RAG) system
[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning
Repository for “PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers”, NAACL24
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
使用 Typst 编写的中文简历, 语法简洁, 样式美观, 开箱即用, 可选是否显示照片
Generate polished résumés and CVs in HTML, Markdown, LaTeX, MS Word, PDF, plain text, JSON, XML, YAML, smoke signal, and carrier pigeon.
Curated list of AI-powered developer tools.
Jupyter Notebooks for Geektime AI Course
The microblogging application developed in my Flask Mega-Tutorial series. This version maps to the 2024 Edition of the tutorial.