Deep learning and text processing

How it went

The workshop guided the participants through the development of text-oriented generative models and showed how deep learning works in natural language processing.

This workshop focused on programming generative AI for text tasks. The participants learned about the basics of neural architectures for natural language processing, the principles of model training and how to prepare data for language tasks. Emphasis was placed on a practical perspective: from pipeline design to experimentation to interpretation of results. The workshop helped connect the theory of deep learning with the real development of applications over text.

Event resources

• Photo Gallery

Event speakers

• Martin Čejka

  Workshop Lecturer and AI Researcher • Department of Information Engineering

  LinkedInCZU

• Arnošt Veselý