Категория
Технологии
Учебные материалы по ИИ
Будьте в курсе новейших методик, инструментов и исследований в области искусственного интеллекта. Наши руководства по ИИ проведут вас через сложные модели машинного обучения.
Другие технологии:
Обучение двух или более человек?Попробуйте DataCamp for Business
Claude Code Auto Mode and Channels: Build Code From Anywhere
Learn how to pair Claude Code Auto Mode with Telegram Channels to run an autonomous write-test-debug loop from your phone.
22 июля 2026 г.
Fine-Tuning Qwen3.6 On a Medical Q&A Dataset
Learn how to fine-tune Qwen3.6 on an H100 NVL GPU using SFT, from dataset preparation and 4-bit loading to training and evaluation.
21 апреля 2026 г.
LLM As a Judge: A Complete Guide With Hands-On RAG Example
Learn how to build an automated LLM-as-a-judge system to evaluate your RAG pipelines for faithfulness and relevance at scale and bridge the gap in AI testing.
20 апреля 2026 г.
Claude Opus 4.7 API Tutorial: Building a Chart Digitizer
Learn the capabilities of Anthropic’s best publicly available model, Claude Opus 4.7, and build a data science tool that can turn a chart into raw data.
20 апреля 2026 г.
Running MiniMax M2.7 Locally for Agentic Coding
In this guide, we will rent an H200 GPU and install llama.cpp, download MiniMax M2.7 GGUF, run it locally, test it in the WebUI, and connect it to OpenCode.
17 апреля 2026 г.
Ollama Python Library: Getting Started with LLMs Locally
Master the Ollama Python SDK for local LLM development. Learn to generate text, handle multi-turn chats, use vision models, and build AI apps securely.
17 апреля 2026 г.
Microsoft MAI Models: Testing MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 with Streamlit
Build a working demo app that calls all three Microsoft MAI models via Azure speech-to-text, text-to-speech, and image generation, and learn what these models can do.
15 апреля 2026 г.
LM Studio Tutorial: Get Started with Local LLMs
Discover how to install and run LLMs locally using LM Studio. Keep your data private, chat with documents using built-in RAG, and set up a local API.
14 апреля 2026 г.
Claude Code in Cursor: Setup and Workflow Guide
Learn how to set up Claude Code inside Cursor, understand the difference between Claude Code and Claude models in Cursor, and decide when each workflow makes sense for your project.
14 апреля 2026 г.
Bonsai AI Tutorial: Run a 1-Bit LLM Locally On an Old Laptop
Learn how to run PrismML's fast and efficient 1-bit Bonsai model locally on Windows, from download and setup to WebUI testing, reaching 88.6 tokens per second.
13 апреля 2026 г.
Claude Code in VS Code: How to Use the Extension
Learn how to install and use the Claude Code VS Code extension, what it can do across your codebase, and how it compares to working from the terminal.
22 июля 2026 г.
ResNet Architecture: Residual Networks and Skip Connections
A deep dive into ResNet architecture, covering how residual learning and skip connections solve the vanishing gradient and degradation problems that make training deep neural networks difficult.
11 апреля 2026 г.