AI Tutorials

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.

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.