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#

Large Language Model

llm logo

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.

Here are 40,379 public repositories matching this topic...

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

  • UpdatedFeb 20, 2026
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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.

  • UpdatedFeb 20, 2026
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a.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

  • UpdatedFeb 20, 2026
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User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

  • UpdatedFeb 20, 2026
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🌐 Make websites accessible for AI agents. Automate tasks online with ease.

  • UpdatedFeb 20, 2026
  • Python

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  • UpdatedFeb 5, 2026

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

  • UpdatedFeb 14, 2026
  • Python

A high-throughput and memory-efficient inference and serving engine for LLMs

  • UpdatedFeb 20, 2026
  • Python

🙌 OpenHands: AI-Driven Development

  • UpdatedFeb 20, 2026
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🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

  • UpdatedJan 21, 2026
  • Python
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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.

  • UpdatedJan 7, 2026
  • Jupyter Notebook
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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.

  • UpdatedFeb 19, 2026
  • JavaScript

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.

  • UpdatedFeb 19, 2026
  • Python

Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner.

  • UpdatedFeb 20, 2026
  • JavaScript

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