Learn how to build your own AI agent from scratch with Python. This step-by-step guide makes AI development accessible for everyone.

Learn how to build an AI tool step by step, from data and models to deployment, with tips for success and promotion strategies.

To be able to query your own documents with a completely local artificial intelligence, you essentially need three things: a local AI model, a database containing your documents, and a chatbot.

Are you excited about using technology to learn, teach, and be more productive? When you apply technology to purpose you can improve the way we communicate, learn, and share knowledge. Welcome! My ...

Most companies are already redirecting software budgets into AI experiments, with ChatGPT already in daily use for many teams ...

Learn how to build a local AI assistant with Cursor AI. Automate tasks, boost productivity, and maintain data privacy in just a few steps.

Create your own MCP Server using FastMCP The Model Context Protocol (MCP) securely connects LLM applications with external data and functionality, like a web API designed for AI interactions.

You can use an AI chatbot to answer all your questions about the content of documents on your PC. This is completely free and local. Ideally, however, it requires a fast PC.