Results 91 to 100 of about 370,431 (273)

GAAPO: genetic algorithmic applied to prompt optimization

open access: yesFrontiers in Artificial Intelligence
Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks, with their performance heavily dependent on the quality of input prompts.
Xavier Sécheresse   +2 more
doaj   +1 more source

Classification and Recognition in the Large Language Models Context [PDF]

open access: yesAnnals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics
The current paper presents a comparative study of a classification task performed by two popular Large Language Models. The quantitative results show that the models have comparable performance, while the qualitative analysis outlines some weak points ...
Adrian Doroiman
doaj   +1 more source

Reflexive Prompt Engineering: A Framework for Responsible Prompt Engineering and AI Interaction Design

open access: yesSSRN Electronic Journal
Responsible prompt engineering has emerged as a critical framework for ensuring that generative artificial intelligence (AI) systems serve society's needs while minimizing potential harms. As generative AI applications become increasingly powerful and ubiquitous, the way we instruct and interact with them through prompts has profound implications for ...
openaire   +3 more sources

The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes

open access: yesFEBS Letters, EarlyView.
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga   +3 more
wiley   +1 more source

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

open access: yesFEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

NEXT-GEN TELECOM AI: MASTERING PROMPT ENGINEERING FOR INNOVATION

open access: yesInformation and Telecommunication Sciences
Background. Since 2021, prompt engineering has emerged as a cornerstone of artificial intelligence (AI), revolutionising telecommunications by 2023 through optimised large language models (LLMs). Objective. This review synthesises existing research to
Михайло Ільченко
doaj   +1 more source

AAA+ protein unfoldases—the Moirai of the proteome

open access: yesFEBS Letters, EarlyView.
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley   +1 more source

Developing prompt engineering skills in the pre-service training of foreign language educator

open access: yesВестник Тамбовского университета. Серия: Гуманитарные науки
Importance. The integration of artificial intelligence technologies into the educational process is one of the key areas of digital transformation of education in Russia. In the context of the rapid development of AI technologies, there is an urgent need
M. N. Evstigneev, I. A. Evstigneeva
doaj   +1 more source

pH‐mediated activation of the lysosomal arginine sensor SLC38A9

open access: yesFEBS Letters, EarlyView.
Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

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