This session focuses on applied AI concepts and advanced topic-based discussion.
Participants will explore specific AI tasks and real-world applications assigned by the instructor, such as:

• LSTM networks

• Attention mechanisms

• Transformer architecture

• BERT model training for text classification

Each participant is expected to research these topics independently using multiple sources and prepare to share insights with the group. During the session, the group will discuss findings to deepen understanding of applied AI techniques and cutting-edge methodologies.

The goal of this session is to expand participants’ AI knowledge, reinforce research skills, and gain insights into practical AI applications, without requiring hands-on coding or project implementation.