chatglm

Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界.

MindSpore online courses: Step into LLM

多平台模型接入，可扩展，多种输出格式，提供大语言模型聊天服务的插件 | A bot plugin for LLM chat with multi-model integration, extensibility, and various output formats

大模型多维度中文对齐评测基准 (ACL 2024)

Java 8+ agentic SDK: unified LLM access (OpenAI/Anthropic/DashScope/Doubao/DeepSeek...), Tool Calling, MCP, RAG, Agent Runtime, and a built-in Coding Agent CLI/TUI/ACP.

A collection of one-click self-hosted AI

QA based on local knowledge and LLM.

Humanable Chat Generative-model Fine-tuning | LLM微调

chatglm-6b微调/LORA/PPO/推理, 样本为自动生成的整数/小数加减乘除运算, 可gpu/cpu

一种利用Langchain框架和本地向量库实现的对话式BI，它的目标是帮助用户寻找、理解数据知识，并能够分析数据、洞察结果，通过自然语言对话，降低数据分析的门槛。

ChatGLM 6B 的模型与UI，通过 LangChain 与向量匹配实现本地知识库问答，支持流式输出

An LLM-based tool to chat with your documents and databases, including a management system | 面向企业内部环境的大模型(LLM)知识库问答系统，包含后台管理系统

Follow the rapid development of AIGC models and applications. | 跟上AIGC模型和应用快速发展的步伐 🚀

从零开始基于 LangGraph 和 Streamlit 实现基于本地模型的 RAG、Agent 应用

Laozy is a self-hosted web application that helps you build and deploy LLM-based dialogue robots. The robot you built can connect to instant messaging platforms like WeChat, Telegram, etc. You can also integrate it into your app with REST APIs.

A unified tool to generate fine-tuning datasets for LLMs, including questions, answers, and dialogues. ✨🤖📚💬

Collection of Basic Prompt Templates for Various Chat LLMs (Chat LLM 的基础提示模板集合)

Based on the large model development framework of langchain, LangGraph is integrated to create a scalable workflow architecture. RAG。基于langchain的大模型开发框架，集成LangGraph创建一个可扩展的工作流架构，RAG：结合检索向量知识库（Milvus），增强模型的知识检索能力，支持ChatGLM & OpenAI大语言