Учебные материалы по ИИ

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OpenAI Agents SDK: How to Run Agents in Modal Sandboxes

Learn how to build an OpenAI agent app that runs inside Modal Sandboxes, works with files, executes code, and returns results in this hands-on Python tutorial.

27 апреля 2026 г.

Qwen 3.6 Plus API Tutorial: Building an Invoice Processing Pipeline in Python

Learn how to use Alibaba's Qwen 3.6 Plus, Python, and the OpenAI SDK to build an automated invoice processing pipeline with native vision and tool calling.

27 апреля 2026 г.

Claude Opus 4.7: A Practical Benchmark of Memory and Effort Levels

Build a Streamlit benchmark application that tests whether Opus 4.7 self-critique memory actually improves coding performance across high, xhigh, and max effort levels.

21 апреля 2026 г.

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.