Contents: This session covers LLM evolution, core architecture, training methodologies, reasoning capabilities, and evaluation processes. The interactive workshop also includes discussions on LLM challenges and limitations.

Methods: Participants will explore theoretical concepts and apply them in a hands-on project using real-world data.

Goals: Equip attendees with knowledge on LLMs, making them capable of evaluating and understanding AI models.

Special Info: The event is free, online, and open to beginners.

Target Audience: Youth aged 16-25, beginners and intermediates in AI and machine learning.

- Introduction to Large Language Models

- Definition and evolution of LLMs.

- Core Architecture of LLMs

- Training Large Language Models

- Reasoning and Coding Capabilities of LLMs

- Evaluation of LLMs

- Challenges and Limitations of LLMs

- Conclusion and Q&A

Tun'Up Munich e.V., founded in September 2015, supports Tunisian students abroad in contributing to educational development in Tunisia.