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.
Here are 36,261 public repositories matching this topic...
🤗 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.
-
Updated
Jan 23, 2026 - Python
Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
-
Updated
Jan 23, 2026 - TypeScript
Production-ready platform for agentic workflow development.
-
Updated
Jan 23, 2026 - TypeScript
🦜🔗 The platform for reliable agents.
-
Updated
Jan 23, 2026 - Python
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
-
Updated
Jan 23, 2026 - Python
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
-
Updated
Jan 19, 2026 - Jupyter Notebook
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
-
Updated
Jan 23, 2026 - TypeScript
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
-
Updated
Jan 23, 2026 - Python
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
-
Updated
Dec 22, 2025
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
-
Updated
Jan 23, 2026 - Python
A high-throughput and memory-efficient inference and serving engine for LLMs
-
Updated
Jan 23, 2026 - Python
🙌 OpenHands: AI-Driven Development
-
Updated
Jan 23, 2026 - Python
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
-
Updated
Jan 20, 2026 - Python
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
-
Updated
Jan 21, 2026 - Python
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.
-
Updated
Jan 7, 2026 - Jupyter Notebook
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
-
Updated
Jan 23, 2026 - JavaScript
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
-
Updated
Jan 23, 2026 - Python
LlamaIndex is the leading framework for building LLM-powered agents over your data.
-
Updated
Jan 23, 2026 - Python
Universal memory layer for AI Agents
-
Updated
Jan 13, 2026 - Python
- Followers
- 1.5k followers
- Website
- github.com/topics/llm
- Wikipedia
- Wikipedia