LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Knowledge and Opinions of Secondary School Teachers on Teaching the Subject of Sex Education. [PDF]
Evdaimon K +4 more
europepmc +1 more source
AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
The impact of teacher training on the evaluation and selection of STEM augmented reality applications and TPACK self-assessment. [PDF]
Küng J, Brovelli D.
europepmc +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
An Evaluation of the Chicago Public Schools Gender Inclusivity Professional Learning Community for K-12 Teachers. [PDF]
Jarpe-Ratner E +6 more
europepmc +1 more source
Script or style? Analysis of the relationship between teaching scripts and supervision style. [PDF]
Sader J +6 more
europepmc +1 more source
Assessing the impact of generative AI on undergraduate thesis quality: A comparative study of students and teachers. [PDF]
Yan G, Zhu C, Li T, Yip J, Ni J.
europepmc +1 more source
Successful student learning outcomes in Moroccan higher education: Causal configurations of pedagogical, motivational, and ICT conditions using fuzzy-set Qualitative Comparative Analysis (fsQCA). [PDF]
Mustapha R, Ragmoun W, Ben Hammou S.
europepmc +1 more source

