Beschrijving
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.