Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

Create your own GPT intelligent assistants using Azure OpenAI, Ollama, and local models, build and manage local knowledge bases, and expand your horizons with AI search engines. 使用 Azure OpenAI、Ollama以及本地模型创建自己的 GPT 智能助手，搭建和管理本地知识库，并使用 AI 搜索引擎扩展你的视野。

Turn any OCR models into online inference API endpoint 🚀 🌖

AI-native application framework and runtime, simply write a YAML file.

TrendSonar 是一款智能新闻热点舆情与趋势洞察系统，提供全网信息流的深度解析。TrendSonar 能够从海量碎片化信息中提炼价值——自动识别热点、去重聚合事件、分析情感风向，并生成可视化的专题时间轴和报告。

A demonstration of integrating FastAPI with Ollama, featuring streaming, formatted, and complete JSON responses from AI models. Learn how to set up and use FastAPI with Ollama for building AI-driven applications.

This github repository contains documentation, samples and API usage examples that can be referenced when interacting with IBM Environmental Intelligence Suite - https://www.ibm.com/products/environmental-intelligence-suite

⚒️ The open-source framework for LLM experiments and agent orchestration.

A Python program to cut segments of a video based on specified keywords using OpenAI Whisper.

A real-time offline voice-to-voice AI assistant built for Raspberry Pi

Beginner-to-master roadmap for becoming a modern AI engineer: AI and ML fundamentals, deep learning, LLMs, RAG, agents, model infrastructure, optimization, hardware acceleration, AI security, blockchain, and ZKML.

🤖An Evil and Smart Bot for Enslaving Windows Written in Rust and Python

This is a web application that lets you search for images using natural language, powered by modern Vision Transformer (ViT) models. It works by processing and indexing the images you upload, then allowing you to find them by typing in what you're looking for.

Advanced NLP system with multilingual sentiment analysis and retrieval-augmented question answering. Built with PyTorch, Transformers, FAISS, and FastAPI.

LLM-based course QA system (RAG)

A comprehensive collection of production-ready AI agent applications featuring single agents, multi-agent teams, and autonomous game-playing systems built with Phidata, CrewAI, LangChain, and Google ADK using OpenAI, Anthropic, Google, and open-source LLMs.

The context engineering platform for AI applications — compile prompts, memory, retrieval, tools, schemas & policies into optimized, validated, observable context packets.

Ludwig is a pure Python framework that simplifies building Web APIs, IoT systems and AI applications. With ready-to-use templates for robotics, smart homes, voice assistants and more, Ludwig empowers developers to "Write less. Build more. Run anywhere."

This repository is dedicated to the study and implementation of Artificial Intelligence Techniques (AIT). It covers core AI concepts such as problem-solving with search, uninformed and informed strategies, adversarial game playing, knowledge representation, and reasoning