Pro uživatele

Permanentní URI k této kolekci

https://hdl.handle.net/20.500.14391/22
včetně studentů a doktorandů

Procházet

Procházet Pro uživatele podle Předmět "AI"

Nyní se zobrazuje 1 - 3 z 3
  • Náhled není k dispozici
    PublikaceOtevřený přístup
    AI Essentials for Academia
    (National Library of Technology, 2025) Skládalová, Eliška; Urban, Adam
    This webinar is tailored for doctoral candidates, researchers, and students interested in integrating artificial intelligence into their academic workflows. The first part introduces large language models, explaining how they function, how they differ, what to watch out for when using them, and the basics of prompt engineering. The second part focuses on AI ethics, associated risks, emerging regulations, ethical frameworks in academia, and how to appropriately cite AI tools.
  • Náhled není k dispozici
    PublikaceOtevřený přístup
    Artificial Intelligence?!
    (National Library of Technology, 2024) Khashabh, Ibrahim Abou
    This presentation provides an introduction to Artificial Intelligence (AI), covering its history, key concepts, and types. It is designed for beginners who are just starting to explore the world of AI. You will learn about Machine Learning, Deep Learning, and various real-world AI applications. We'll also discuss AI's future potential, its impact on society, and the importance of creating ethical AI. By the end, you'll clearly understand what AI is and how it shapes our world.
  • Náhled není k dispozici
    PublikaceOtevřený přístup
    Introduction into AI tools for academia
    (National Library of Technology, 2024) Urban, Adam
    This presentation provides an introductory exploration into generative AI tools and their practical applications within academic research. Attendees will gain insight into the capabilities of prompt-based searches, enabling efficient and precise information retrieval. Additionally, the session will cover mapping tools that facilitate data visualization and analysis, and delve into text analysis techniques, demonstrating how AI can streamline and enhance content evaluation and interpretation.