Перейти к основному содержимому
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:
GroupОбучение двух или более человек?Попробуйте DataCamp for Business

Docker Ollama: Run LLMs Locally for Privacy and Zero Cost

Set up Ollama in Docker to run local LLMs like Llama and Mistral. Keep your data private, eliminate API costs, and build AI apps that work offline.
Dario Radečić's photo

Dario Radečić

30 сентября 2025 г.

Claude Agent SDK Tutorial: Create Agents Using Claude Sonnet 4.5

Learn how the Claude Agent SDK works by building three projects, from one-shot to custom-tool agents.
Abid Ali Awan's photo

Abid Ali Awan

29 сентября 2025 г.

CrewAI vs LangGraph vs AutoGen: Choosing the Right Multi-Agent AI Framework

Learn how CrewAI, LangGraph, and AutoGen approach multi-agent AI. Explore their differences in workflows, memory, scalability, and collaboration to discover which fits your needs best.
Benito Martin's photo

Benito Martin

28 сентября 2025 г.

Self-Rag: A Guide With LangGraph Implementation

Learn how Self-RAG improves traditional RAG by incorporating iterative reasoning and self-evaluation, and how to implement it step-by-step using LangGraph.
Ryan Ong's photo

Ryan Ong

25 сентября 2025 г.

How to Build a Chatbot with Snowflake Cortex AI (Step-by-Step Guide)

Learn how to build a chatbot with Snowflake Cortex AI. Step-by-step guide to preparing data, using Cortex Search, and deploying with Streamlit.
Tim Lu's photo

Tim Lu

24 сентября 2025 г.

LangChain vs LangGraph vs LangSmith vs LangFlow: Key Differences Explained

Compare LangChain, LangGraph, LangSmith, and LangFlow. Learn their roles, strengths, and when to use each for building production-ready AI applications.
Vaibhav Mehra's photo

Vaibhav Mehra

23 сентября 2025 г.

LiteLLM: A Guide With Practical Examples

Learn what LiteLLM is and how to use it for unified API calls to various LLM providers, covering basic API usage, error handling, fallbacks, streaming, structured outputs, and cost tracking.
Bex Tuychiev's photo

Bex Tuychiev

23 сентября 2025 г.

Qwen3-Next: A Guide With Demo Project

Learn how to build a Streamlit app for side-by-side comparison of Qwen3-Next-80B-A3B and other Qwen models, focusing on real-world performance metrics.
Aashi Dutt's photo

Aashi Dutt

22 сентября 2025 г.

Roo Code: A Guide With Seven Practical Examples

Learn how to install and use Roo Code, an open-source AI coding assistant, and compare its features and functionalities with Cline.
Bex Tuychiev's photo

Bex Tuychiev

17 сентября 2025 г.

Tabnine: A Guide With Demo Project

Learn how to build an AI image editor using Tabnine and Google's Nano Banana model.
François Aubry's photo

François Aubry

17 сентября 2025 г.