Учебные материалы по ИИ

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.

A simple step-by-step guide to running FLUX.2 locally for high-quality image generation and editing.

Explore what’s new in Claude Code 2.1 by running a set of focused experiments on an existing project repository within CLI and web workflows.

Build production-ready voice AI assistants with xAI's Grok Voice Agent API and LiveKit.