Principles of Intelligent Systems (FSI-SIS)

Artificial intelligence (AI) has been one of the fastest-growing areas of computer science in recent decades, and it is becoming essential to be familiar with the basic knowledge and skills of using it. In this subject, we want to go further and show how, in some cases, to control the mind of the machine from the perspective of understanding mathematical definitions. The subject of Artificial Intelligence provides students with basic and advanced knowledge in this field. Students will be introduced to different approaches to AI, including machine learning, natural language processing, and computer vision. They will learn how to design and implement AI systems, including a description of models from selected areas.

1. Introduction to Artificial Intelligence


2. History and current state-of-art


3. Areas of artificial intelligence


4. Machine learning


5. Neural networks


6. Transformers


7. Large language models


8. Methods for improving LLMs


9. Chatbots


10. Non-commercial tools and their use in practice


11. Commercial tools and their use in practice


12. Lecturer's reserve

The PC labs are focused on the practical understanding of the material covered in the lecture topics. The emphasis is placed on the ability to work independently, i.e. on solving tasks using AI and using interactive AI tools.

1. Python and libraries for using AI tools

2. - 10. Introduction to interactive AI applications, tasks solving 

11. Creation of a chatbot, an agent, an AI system

12. - 13. Work on a semester project, consultations

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KUBLIK, S. a SABOO, S. GPT-3: building innovative NLP products using large language models. Sebastopol: O´Reilly, 2022. ISBN 978-1-098-11362-9.

PECINOVSKÝ, Rudolf. Začínáme programovat v jazyku Python. 2. přepracované a rozšířené vydání. Praha: Grada Publishing, 2022. ISBN 978-80-271-3609-4.