AI в действии

AI in Action: From Chatbots to Real AI Systems

Welcome to "AI in Action," a practical course designed to guide you from a fundamental understanding of artificial intelligence to confident mastery of today's leading LLM (Large Language Model) tools and technologies.

Forget the hype and science fiction – we'll cut through the noise to explore where AI provides genuine value and where it falls short. You'll learn how modern language models function, the distinction between a true AI system and a simple "smart chatbot," and how to leverage them effectively.

What you'll discover in this course:

• Block 1: Understanding the Fundamentals

  • What is artificial intelligence, really?
  • Why isn't AI always "smart," and how does it differ from human intelligence?
  • The architecture of dialogue models and their role within LLMs.

• Block 2: Hands-on with Tools

  • OpenAI Playground: Learn direct interaction with powerful AI models.
  • AnythingLLM: A versatile application for AI workflows: installation, configuration, API connection, and working with Retrieval-Augmented Generation (RAG).
  • LM Studio: Run and customize local AI models directly on your computer.
  • LM Studio + AnythingLLM: Combine for flexible and independent AI operation.

• Block 3: Automation and Integration

  • N8N: A visual automation platform: setup, interface, local execution, and building automated workflows (including website scraping).
  • Pinokio: An AI scenario aggregator: installation, launching LLMs and FaceFusion with a single click.

Who is this course for?

• Individuals seeking a deep understanding of AI's inner workings, beyond just using pre-built solutions.
• Developers, analysts, technicians, and IT managers aiming to integrate AI into their workflows.
• Beginner enthusiasts curious about AI, ML, and LLM trends.

What you will gain:

• A clear understanding of AI's capabilities and limitations.
• Practical skills in using real-world tools: OpenAI, AnythingLLM, LM Studio, N8N, and Pinokio.
• The ability to build your own AI infrastructure using both local and cloud components.
• Practical scenarios for automating tasks, analyzing data, and creating intelligent systems.

This course provides a practical, hands-on approach to understanding and utilizing cutting-edge AI technologies.