Large Language Model
A large language model (LLM) is a type of machine learning model designed for understanding, generating, and interacting with human language. These models are trained on extensive datasets containing text from books, articles, websites, and other sources to learn patterns, context, and semantics in language. LLMs are widely used in applications like chatbots, code generation, translation, summarization, and more. They are often built using transformer architectures and are central to the field of generative AI.
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🤗 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.
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🦜🔗 Build context-aware reasoning applications
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Production-ready platform for agentic workflow development.
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User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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🌐 Make websites accessible for AI agents. Automate tasks online with ease.
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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
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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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🙌 OpenHands: Code Less, Make More
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🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
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A high-throughput and memory-efficient inference and serving engine for LLMs
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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
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The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
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Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
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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.
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LlamaIndex is the leading framework for building LLM-powered agents over your data.
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🔥AI低代码平台,助力企业快速实现低代码开发和构建AI应用!前后端分离架构 SpringBoot3,SpringCloud、MybatisPlus,Ant Design&Vue3、TS+vite!强大代码生成器实现前后端一键生成,无需手写代码! 引领AI低代码开发模式:AI生成→在线编码→代码生成→手工合并,解决Java项目80%重复工作,提升效率,节省成本,兼顾灵活性~
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Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.
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