AI 教程

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

A step-by-step guide to setting up the environment, processing the MRI dataset, fine-tuning the model, and evaluating its performance.

Learn what Dify is and how to build an AI travel agent using its low-code drag-and-drop interface.

Learn what Google Jules is and how to use it to automate real-world development tasks for your GitHub repository.

Learn how to build an Android app that uses Google's Gemma 3n to answer questions about images directly on your phone, without needing a cloud connection.

Explore Claude Sonnet 4’s developer features—code execution, files API, and tool use—by building a Python-based math-solving agent.

Plan, build, test, and deploy a machine learning project from scratch using the Claude Opus 4 model with Claude Code.

Learn how to use Veo 3 to create a spec ad, maintain character consistency across different shots, and gain modular control with the Ingredients feature.

Learn how to build multi-agent AI applications with Autogen Studio, Autogen AgentChat, Autogen Core, and Autogen Extensions.

Learn how to use Devstral with Mistral Inference locally and with OpenHands using the Mistral AI API.

Learn what Langflow is, how to install it, and how to build simple and custom AI agent workflows using Python.

Learn what Chainlit is, how to install it, and how to run it to build interactive interfaces for LLM-powered applications.