LLM チュートリアル

Building, Testing, and Integrating the ArXiv Explorer MCP Server.

Learn how to use Grok 4’s API through practical examples featuring image recognition, reasoning, function calling, and structured output.

Learn what Moonshot's Kimi K2 is, how to access it, and see it in action through six practical examples you can use.

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

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

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

A step-by-step guide to fine-tuning the state-of-the-art Phi-4 Reasoning model on the finance Q&A dataset in under 10 minutes.

Develop a multi-tool agent application using LangGraph, Tavily, Python tool, and Mistral AI API in the DataLab environment.