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001038641 037__ $$aFZJ-2025-01612
001038641 041__ $$aEnglish
001038641 1001_ $$0P:(DE-Juel1)140202$$aStrube, Alexandre$$b0$$eCorresponding author
001038641 1112_ $$aHelmholtz Summer School$$cMagdeburg$$d2024-09-18 - 2024-09-20$$wGermany
001038641 245__ $$aEffective Use of Large Language Models and Prompt Engineering
001038641 260__ $$c2024
001038641 3367_ $$2DRIVER$$alecture
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001038641 3367_ $$2ORCID$$aLECTURE_SPEECH
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001038641 520__ $$aMany users work with ChatGPT or BLABLADOR without fully exploiting its potential. This lecture will show you how prompt engineering can help you to use applications like BLABLADOR, which are based on Large Language Models (LLMs), more effectively.The event is aimed at both beginners who have no experience with BLABLADOR and those who want to learn more about best practices, possible challenges and limitations of this technology.
001038641 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001038641 536__ $$0G:(DE-Juel-1)E54.303.11$$aHelmholtz AI Consultant Team FB Information (E54.303.11)$$cE54.303.11$$x1
001038641 8564_ $$uhttps://strube1.pages.jsc.fz-juelich.de/2024-09-course-helmholtz-summer-school/#/title-slide
001038641 909CO $$ooai:juser.fz-juelich.de:1038641$$pVDB
001038641 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)140202$$aForschungszentrum Jülich$$b0$$kFZJ
001038641 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001038641 9141_ $$y2024
001038641 920__ $$lyes
001038641 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001038641 980__ $$alecture
001038641 980__ $$aVDB
001038641 980__ $$aI:(DE-Juel1)JSC-20090406
001038641 980__ $$aUNRESTRICTED