Lecture (Other)

FZJ-2025-01612

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Effective Use of Large Language Models and Prompt Engineering

Strube, A. (Corresponding author)FZJ*

2024

Abstract: Many users work with ChatGPT or BLABLADOR without fully exploiting its potential. This lecture will show you how prompt engineering can help you to use applications like BLABLADOR, which are based on Large Language Models (LLMs), more effectively.The event is aimed at both beginners who have no experience with BLABLADOR and those who want to learn more about best practices, possible challenges and limitations of this technology.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
2. Helmholtz AI Consultant Team FB Information (E54.303.11) (E54.303.11)

Appears in the scientific report 2024

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