Results 61 to 70 of about 56,942 (277)
Semantic Segmentation: Prompt Engineering for the Segment Anything Model [PDF]
openIn questi tesi parlo della segmentazione delle immagini, un processo fondamentale nella visione artificiale che consiste nel suddividere un'immagine in regioni significative, assegnando a ciascuna di esse un'etichetta semantica. In particolare.
VENEZIANI, MICHELE
core
Integrating chemistry knowledge in large language models via prompt engineering
This paper presents a study on the integration of domain-specific knowledge in prompt engineering to enhance the performance of large language models (LLMs) in scientific domains.
Hongxuan Liu +3 more
doaj +1 more source
This study reveals that the small GTPase Rab14 is necessary for human papillomavirus (HPV) infection and plays an essential role in the transport of virions to the trans‐Golgi network (TGN). HPV in the early endosome (EE), which harbors GTP‐bound Rab14, is transported to the TGN through the switch of Rab14 from its GTP‐bound to GDP‐bound form.
Yoshiyuki Ishii, Iwao Kukimoto
wiley +1 more source
Inclusive prompt engineering for large language models: a modular framework for ethical, structured, and adaptive AI [PDF]
Large language models have achieved impressive results across various tasks but remain limited in their ability to adapt ethically and structurally across diverse domains without retraining.
Alameer, Ali +3 more
core +1 more source
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 +2 more sources
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
Application of Prompt Engineering Techniques to Optimize Information Retrieval in the Metaverse
Prompt engineering techniques are instructions that enable large language models (LLMs) to solve real-world problems more effectively. These techniques enhance the capabilities of LLMs to generate accurate and efficient responses.
Asım Sinan Yüksel +2 more
doaj +1 more source
The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome
This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley +1 more source
Multi-prompt Learning Based Aspect-Category Sentiment Analysis [PDF]
Aspect-category sentiment analysis (ACSA) aims to discern aspect categories in review texts and simultaneously predict their sentiment polarity. It is an important fine-grained subtask in the field of sentiment analysis.
LIU Jinhang, LI Lin, WU Renwei, LIU Jia
doaj +1 more source
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source

