Sep 18 – 19, 2024
Göttingen, Alte Mensa
Europe/Berlin timezone
Call for Abstracts und Anmeldung sind geöffnet! / Call for Abstracts and Registration are open!

Session

🇬🇧 Session 3. Large Language Models

Sep 19, 2024, 9:45 AM
Hannah-Vogt-Saal

Hannah-Vogt-Saal

Description


Chair: Dr. Jennifer D'Souza (TIB Hannover)

Content/Abstract:
This session will delve into the intricacies of Large Language Models (LLMs). The session aims address the impact of these AI systems along the topics of interest (see below), exploring their capabilities, implications, and potential applications.

Topics of interest:
- Pretraining Techniques for LLMs: Exploring foundational strategies and algorithms in the development of LLMs.
- Testing and Evaluating LLM Fitness:Methods for assessing LLM performance on well-known tasks and benchmarks.
- Application of LLMs in Scientific Research: Case studies and examples of LLMs driving discovery and innovation in various scientific fields.
- Innovative Insights Generation: Strategies for leveraging LLMs to generate novel insights and accelerate research outcomes.
- Challenges and Solutions in LLM Application: Discussing the practical challenges encountered in applying LLMs to scientific research and potential solutions.

Presentation materials

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