parallel75 / Microsoft_AutoGen_Tutorial
微软 AutoGen 框架 Demo
☆82Updated last year
Alternatives and similar repositories for Microsoft_AutoGen_Tutorial:
Users that are interested in Microsoft_AutoGen_Tutorial are comparing it to the libraries listed below
- LangChain Tutorial 3 动画演示透彻解释 Agent 概念 以及 实现Demo☆97Updated last year
- ☆195Updated last year
- Agentica: Effortlessly Build Intelligent, Reflective, and Collaborative Multimodal AI Agents! 轻松构建智能、具备反思能力、可协作的多模态AI Agent。☆155Updated this week
- ☆58Updated 6 months ago
- ☆249Updated last year
- Implement OpenAI APIs and plugin-enabled ChatGPT with open source LLM and other models.☆120Updated 10 months ago
- ☆113Updated last year
- Multi-Agents & Plugins repo for DB-GPT, Can complete various tasks around databases.☆100Updated last year
- 智谱AI 2024年金融行业大模型挑战赛仓库☆48Updated 2 months ago
- ☆69Updated last year
- A repo with an automated prompt engineering workflow from scratch. It leverages the OPRO technique.☆192Updated 7 months ago
- langchain学习笔记，包含langchain源码解读、langchain中使用中文模型、langchain实例等。☆208Updated last year
- ☆191Updated last year
- ☆82Updated 2 years ago
- XAgent 教程☆36Updated last year
- The tool is used for building and driving workflows specifically tailored for AI initiatives. It can be used to construct AI agents.☆144Updated 10 months ago
- 2024 Alibaba Global Mathematics Competition AI Track Global 2nd Place Project (Agent Universe)☆66Updated 10 months ago
- ☆74Updated last year
- 基于 Langchain，快速集成GLM-4 AllTools 功能的插件☆46Updated 9 months ago
- 基于Langchain 的自然语言表格数据查询工具 A Natural Language Tabular Data Query Tool based on Langchain☆145Updated last year
- AGI模块库架构图☆75Updated last year
- A unified tool to generate fine-tuning datasets for LLMs, including questions, answers, and dialogues. ✨🤖📚💬☆58Updated last month
- ChatGPT WebUI using gradio. 给 LLM 对话和检索知识问答RAG提供一个简单好用的Web UI界面☆128Updated 8 months ago
- Imitate OpenAI with Local Models☆88Updated 8 months ago
- You can play any API server that compatible with OpenAI API☆23Updated 11 months ago
- 李鲁鲁老师对 吴恩达《ChatGPT Prompt Engineering for Developers》课程中文版的实践☆135Updated last year
- A high-throughput and memory-efficient inference and serving engine for LLMs☆135Updated 5 months ago
- 使用langchain进行任务规划，构建子任务的会话场景资源，通过MCTS任务执行器，来让每个子任务通过在上下文中资源，通过自身反思探索来获取自身对问题的最优答案；这种方式依赖模型的对齐偏好，我们在每种偏好上设计了一个工程框架，来完成自我对不同答案的奖励进行采样策略☆29Updated 3 weeks ago
- 文本语料转训练集工具，txt转dataset☆92Updated last year
- Tutorials from AutoGen Basics to Use Cases☆31Updated last year