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大语言模型

大型语言模型(large language model,简称LLM)是一种专为理解、生成和处理人类语言而设计的深度学习模型。这些模型通过在海量文本数据(如书籍、文章、网页等)上进行训练,学习语言的模式、语境和语义。大型语言模型广泛应用于聊天机器人、代码生成、翻译、文本摘要等领域,是生成式人工智能的核心技术,通常基于Transformer架构构建。
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
🦜🔗 Build context-aware reasoning applications
Production-ready platform for agentic workflow development.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data 🔥
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A high-throughput and memory-efficient inference and serving engine for LLMs
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.
基于大模型搭建的聊天机器人,同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入,可选择ChatGPT/Claude/DeepSeek/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Kimi/LinkAI,能处理文本、语音和图片,访问操作系统和互联网,支持基于自有知识库进行定制企业智能客服。