Large Language Model topic
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.
llama_index
LlamaIndex is a data framework for your LLM applications
FastGPT
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letti...
LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
airllm
AirLLM 70B inference with single 4GB GPU
AppAgent
AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.
ollama
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
rags
Build ChatGPT over your data, all with natural language
CopilotKit
React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile 🪁
gpt-code-assistant
gpt-code-assistant is an open-source coding assistant leveraging language models to search, retrieve, explore and understand any codebase.