Results 101 to 110 of about 370,431 (273)
We explore a new language model inversion problem under strict black-box, zero-shot, and limited data conditions. We propose a novel training-free framework that reconstructs prompts using only a limited number of text outputs from a language model. Existing methods rely on the availability of a large number of outputs for both training and inference ...
Li, Hanqing, Klabjan, Diego
openaire +2 more sources
Prompt Engineering for evaluators: optimizing LLMs to judge linguistic proficiency
AI-LinguisticaPrompt 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
Prompt Engineering im Systems Engineering
Zeitschrift für wirtschaftlichen FabrikbetriebAbstract Große Sprachmodelle wie GPT-4 bieten erhebliche Potenziale für das Systems Engineering. Prompt-Engineering ermöglicht einen flexiblen Einsatz im Anforderungsmanagement, Systementwurf und in der Integration, Verifikation und Validierung ohne aufwendiges Modelltraining.
Aschot Hovemann +4 more
openaire +1 more source
Potential therapeutic targeting of BKCa channels in glioblastoma treatment
Molecular Oncology, EarlyView.This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source
Semiotics-based prompt engineering for architectural text-to-image generation processes
ESTOA: Revista de la Facultad de Arquitectura y Urbanismo de la Universidad de CuencaText-to-image generative AI tools have gained significant attention in the architectural community; however, they are currently being used by trial-and-error with simple textual inputs.
Şule Taşlı Pektaş, Bilge Sağlam
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MED-Prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes
Journal of King Saud University: Computer and Information SciencesExisting AI-based medicine prediction systems require substantial training time, computing resources, and extensive labeled data, yet they often lack scalability.
Awais Ahmed +4 more
doaj +1 more source
Residential Segregation and Interracial Marriages [PDF]
, 2018 Part I highlights recent data on racially segregated neighborhoods and low rates of interracial marriage to underscore what Russell Robinson refers to as “structural constraints” that shape and limit romantic preferences.
Villazor, Rose Cuison
core +1 more source
Molecular Oncology, EarlyView.Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon +13 more
wiley +1 more source
Optimizing Large Language Models: A Deep Dive into Effective Prompt Engineering Techniques
Applied SciencesRecent 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
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Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
Molecular Oncology, EarlyView.The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source