openai

A practical guide to AI: from running your first local model to building your own agents. 52 files covering LLMs, Ollama, RAG, prompt engineering, machine learning, AI agents, and local AI tools.

I recently attended the Geekbang "Large Language Models Application Development Practice Camp", where I learned about the application development of Large Language Models. Below is a summary of the after-class exercises that I participated in the camp.

Telegram bot wrapping TradingAgents — chat-driven watchlist with parallel multi-ticker analysis, cancellation, and Telegraph reports.

Interactive notes (Jupyter Notebooks) for building AI-powered applications

Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Processing (NLP) algorithms to analyse spoken responses, identifying grammatical errors & offering accurate corrections after the interview.

Emulates Azure OpenAI API on your local machine using Ollama and open-source models.

Clone of writesonic.com & copy.ai - BlogIQ is an innovative app powered by OpenAI and Langchain, designed to streamline the content creation process for bloggers.

A Portfolio Website with an AI chatbot that can answer any question about you.

Langchain Agent utilizing OpenAI Function Calls to execute Git commands using Natural Language

A Whisper + ChatGPT MagicMirror Module.

智能终端命令助手 — 用自然语言生成 Shell 命令，支持 OpenAI/Claude/Gemini/Ollama 等多后端

Create OpenAI chat completions from Excel formulas

Production-ready Python library for multi-provider LLM orchestration

A framework for hosting and scaling AI agents.

OpenLLM Monitor is a plug-and-play, real-time observability dashboard for monitoring and debugging LLM API calls across OpenAI, Ollama, OpenRouter, and more. Tracks tokens, latency, cost, retries, and lets you replay prompts — fully open-source and self-hostable.

An AI assistant whose memory belongs to you. Local-first Mac app, plain markdown workspace, bring your own model.

A local-first, CLI-driven multi-agent AI software engineering workflow orchestrator with feed specs, PRDs, and guidelines to auto-generate implementation plans and code.

AI Firewall & LLM security toolkit - protect your AI applications from prompt injection, jailbreaks, PII leakage, and adversarial attacks

Based on the large model development framework of langchain, LangGraph is integrated to create a scalable workflow architecture. RAG。基于langchain的大模型开发框架，集成LangGraph创建一个可扩展的工作流架构，RAG：结合检索向量知识库（Milvus），增强模型的知识检索能力，支持ChatGLM & OpenAI大语言

🧠✂️ SemanticSlicer — A smart text chunker for LLM-ready documents.