Results 91 to 100 of about 4,804,928 (276)

Prompt Engineering for evaluators: optimizing LLMs to judge linguistic proficiency

AI-Linguistica
Prompt Engineering, the practice of optimizing the question made to a Large Language Model, is closely linked to the evaluation procedures. Depending on the type of task we are performing through LLMs, we can have an evaluation metric with high or low ...
Lorenzo Gregori
doaj   +1 more source

L‐aspartate oxidase provides new insights into fumarate reduction in anaerobic darkness in Synechocystis sp. PCC6803

FEBS Letters, EarlyView.
Synechocystis strains deficient in succinate dehydrogenase (SDH) secrete more succinate than the WT under dark anaerobic conditions, supporting that SDH then primarily acts as SDH, not as a fumarate reductase. L‐aspartate oxidase (Laspo) from Synechocystis is functional under anaerobic conditions, reducing fumarate to succinate.
Kateryna Kukil, Jeffrey A. Hawkes, Cecilia Blikstad, Pia Lindberg   +3 more
wiley   +1 more source

MED-Prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes

Journal of King Saud University: Computer and Information Sciences
Existing AI-based medicine prediction systems require substantial training time, computing resources, and extensive labeled data, yet they often lack scalability.
Awais Ahmed, Xiaoyang Zeng, Rui Xi, Mengshu Hou, Syed Attique Shah   +4 more
doaj   +1 more source

Prompt Less, Smile More: MTP with Semantic Engineering in Lieu of Prompt Engineering

CoRR
AI-Integrated programming is emerging as a foundational paradigm for building intelligent systems with large language models (LLMs). Recent approaches such as Meaning Typed Programming (MTP) automate prompt generation by leveraging the semantics already present in code.
Jayanaka L. Dantanarayana, Savini Kashmira, Thakee Nathees, Zichen Zhang, Krisztián Flautner, Lingjia Tang, Jason Mars   +6 more
openaire   +2 more sources

Artificial molecular machines and motors—Design and control of nanoscale motion

FEBS Letters, EarlyView.
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley   +1 more source

Optimizing Large Language Models: A Deep Dive into Effective Prompt Engineering Techniques

Applied Sciences
Recent advancements in Natural Language Processing (NLP) technologies have been driven at an unprecedented pace by the development of Large Language Models (LLMs).
Minjun Son, Yun-Jae Won, Sungjin Lee
doaj   +1 more source

Green Prompt Engineering: Investigating the Energy Impact of Prompt Design in Software Engineering

CoRR
Language Models are increasingly applied in software engineering, yet their inference raises growing environmental concerns. Prior work has examined hardware choices and prompt length, but little attention has been paid to linguistic complexity as a sustainability factor.
Vincenzo De Martino, Mohammad Amin Zadenoori, Xavier Franch, Alessio Ferrari 0001   +3 more
openaire   +2 more sources

A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma

FEBS Letters, EarlyView.
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos, Antonia Petropoulou, Alexandra Anastogianni, Angelina Bania, Vassilis Stamatakis, Argyris Alexiou, Chi‐Ping Day, Glenn Merlino, Katerina Grafanaki, Constantinos Stathopoulos   +9 more
wiley   +1 more source

A linguistic inquiry into prompt engineering in AI-human communication

Discover Education
Artificial intelligence (AI) is now a linchpin of communication. In principle, an AI response is dependent on the linguistic design of prompts, which is a research priority nowadays.
Ghazwan Mohammed Saeed Mohammed
doaj   +1 more source

Metastatic niche shaped by host factors influences disseminated cancer cell fate

FEBS Letters, EarlyView.
Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward, Álvaro Ruiz‐Tabas, Patricia Altea‐Manzano   +2 more
wiley   +1 more source