Учебные материалы по ИИ

Learn how to fine-tune Gemma 4 E4B-it on a human emotions dataset using LoRA, 4-bit quantization, and a single 3090 GPU.

Learn how to build a fully local, multimodal AI coding assistant powered by Gemma 4 via Ollama, featuring agentic tool use wrapped in Gradio UI.

Discover how Gemini Embedding 2 has revolutionized the way we can build search and RAG systems by introducing native multimodality. Text, video, images, and audio can now all live in the same embedding space.

Learn how to build a browser-based AI agent that searches the web, extracts live flight data, and returns clean recommendations using GLM-5-Turbo.

Control your desktop AI agent from your phone with Claude Cowork Dispatch. Learn how to assign tasks and automate file workflows remotely in this guide.

Learn how to install and configure claude-mem, the Claude Code plugin that gives your sessions persistent memory through structured compression and retrieval.

Set up vLLM on a H100 GPU, serve Qwen3.5-27B, connect OpenCode, and test fast agentic coding with long context support.

Discover NemoClaw, NVIDIA's enterprise security layer for OpenClaw. Learn how to deploy safe, auditable AI agents with sandboxing and privacy controls in this complete setup guide.

Learn how to use NVIDIA’s Nemotron 3 Super through OpenRouter to analyze a GitHub repository without RAG, using prompt packing and a Gradio app.

Learn how to fine-tune Qwen3.5-9B on the Latex OCR dataset using QLoRA in Unsloth Studio, then test the model in chat and export it in GGUF format for local inference.

Claude Code CLI allows developers to integrate AI-powered coding assistance into everyday terminal workflows. This guide walks through installation, authentication, core commands, and real-world workflows for analyzing and improving codebases.

Learn how to use agentic vision in Gemini 3 Flash with Python. Four examples show how the Think, Act, Observe loop crops, annotates, and extracts data from images.