AI 教程

Learn about Google’s Project Mariner through real-world examples and a breakdown of its strengths and weaknesses.

Set up a full-stack deep AI research assistant, featuring a React frontend and a LangGraph backend.

Step-by-step guide to fine-tuning the Mistral reasoning model on a medical MCQs dataset using the Transformers framework.

Learn how to build an AI agent that answers questions based on a CSV dataset using Flowise, a low-code workflow-based tool.

Learn how to set up AutoGPT, create custom AI agents with a low-code interface, and extend functionality with Python blocks. This hands-on tutorial covers installation, UI basics, and agent creation.

Learn how Julius AI helps you analyze Excel, CSV, and PDF data using natural language. Get visual insights and build reports easily, no coding needed.

Learn how to set up and run Mistral's Magistral Small model using Ollama and vLLM, and build a demo project that debugs faulty logic.

A step-by-step tutorial on building, testing, deploying, and integrating a Gradio MCP server with Tavily, Hugging Face Spaces, Cursor AI and Claude Desktop.

Learn how to build AI agents using Mistral's Agents API, and explore key concepts like tool usage, connectors, handoffs, and more.

Learn about Perplexity Labs, its features for creating reports, dashboards, and web applications, and how to use it through practical examples.

Learn how to fine-tune the top open-source reasoning model, on a medical multiple choice questions (MCQs) dataset using a consumer GPU.

Learn what Google's Gemini Diffusion is and how it works through eight practical examples in text generation, game development, simulations, and more.