AI-tutorials

Learn what Moonshot’s Kimi K2.5 is, how Agent Swarm works, and see it in action through four hands-on, real-world experiments.

A beginner-friendly guide to using Claude inside Excel. You’ll learn what it actually does, where it's most helpful, and how to use it safely in real spreadsheets without breaking anything.

Set up OpenClaw(formerly Clawdbot/Moltbot), a self-hosted agent connecting Claude to your Mac via WhatsApp. Search files and run shell commands from your phone.

Upgrade to Transformers v5. A practical guide to the unified Rust backend, API changes, and side-by-side v4 vs v5 migration patterns for encoding and chat.

Setting up llama.cpp to run the GLM-4.7 model on a single NVIDIA H100 80GB GPU, achieving up to 20 tokens per second using GPU offloading, Flash Attention, optimized context size, efficient batching, and tuned CPU threading.

Learn how to run GLM-4.7-Flash on an RTX 3090 for fast local inference and integrating with OpenCode to build a fully local automated AI coding agent.

Learn how to fine-tune FunctionGemma in under 10 minutes using Kaggle’s free GPUs, from dataset preparation and baseline evaluation to training and post-fine-tuning validation.

Learn to automate image editing with Python. Use Qwen-Image-Layered to decompose images into editable RGBA layers and rebuild them in a Streamlit app.

Learn how hook-based automation works and get started using Claude Code hooks to automate coding tasks like testing, formatting, and receiving notifications.

Learn what Claude Cowork is and how to use for file organization, document generation, and browser automation. Hands-on tutorial with real examples and limitations.

Learn to build a Multimodal RAG pipeline for a visual Q&A system on IKEA assembly instructions using the OpenAI API and ChromaDB vector database.

A hands-on, end-to-end guide to fine-tuning T5Gemma-2 (270M-270M) for LaTeX OCR, showing how to correctly train and run inference with a multimodal encoder–decoder model using a small dataset.