Results 81 to 90 of about 56,942 (277)
Prompt Engineering Guide: Respiratory Care [PDF]
Prompt engineering guide for respiratory care.
Boganwright, Julie
core +1 more source
NEXT-GEN TELECOM AI: MASTERING PROMPT ENGINEERING FOR INNOVATION
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
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source
Prompt Engineering Guide: Welding Technology [PDF]
Prompt engineering guide for welding technology.
Lopez-Maldonado, Cesar
core +1 more source
Generative artificial intelligence (AI) has shown promising potential in education, particularly in providing real-time, customized, student-facing feedback in large-enrollment courses.
Amogh Sirnoorkar, N. Sanjay Rebello
doaj +1 more source
Developing prompt engineering skills in the pre-service training of foreign language educator
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
Protein aggregates threaten proteostasis and cell health. In human cells, Hsp70–J‐domain protein‐based disaggregases remove aggregates, but how they assemble remains unclear. Our biochemical findings show that DNAJA2‐ and DNAJB1‐containing disaggregase scaffolds enhance luciferase aggregate targeting, and that Hsp70 recruitment by both J‐domain ...
Anna Szlachcic, Nadinath B. Nillegoda
wiley +1 more source
GAAPO: genetic algorithmic applied to prompt optimization
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
Automatic Engineering of Long Prompts
Large language models (LLMs) have demonstrated remarkable capabilities in solving complex open-domain tasks, guided by comprehensive instructions and demonstrations provided in the form of prompts. However, these prompts can be lengthy, often comprising hundreds of lines and thousands of tokens, and their design often requires considerable human effort.
Cho-Jui Hsieh +3 more
openaire +2 more sources
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source

