Results 111 to 120 of about 619,505 (306)
LLM-Based Agents for Tool Learning: A Survey
Human beings capable of making and using tools can accomplish tasks far beyond their innate abilities, and this paradigm of integration with tools may not be limited to humans themselves.
Weikai Xu +3 more
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Human languaging and large language models
Abstract This paper explores the interplay between human languaging and AI-powered language models from the view of the distributed language perspective (DLP). According to this perspective, human linguistic activity can be described as ongoing, heterogenous activity, thus making proponents of DLP prefer the term ‘languaging’ to that ...
openaire +2 more sources
Retrieval-Augmented Generation with Large Language Models for Genetic Counseling on Rare Diseases and Mutations [PDF]
openLo scopo di questa tesi consiste nello sviluppo di un sistema per agilizzare la ricerca di informazioni riguardanti malattie e mutazioni genetiche rare per offrire un aiuto ai ricercatori presso R&I Genetics.
DA RE, LEONARDO
core
The integration of large language models (LLMs) in clinical medicine, particularly in critical care, has introduced transformative capabilities for analyzing and managing complex medical information.
Zhongheng Zhang, Hongying Ni
doaj +1 more source
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya +2 more
wiley +1 more source
Probing the Sequential Enumeration Skills of Large Language Models [PDF]
openNumerosity estimation, which we share with many animal species, is a cornerstone in human cognitive development leading to higher mathematical competencies.
DAIBASOGLU, KAAN
core
A corpus-based connectionist architecture for large-scale natural language parsing
We describe a deterministic shift-reduce parsing model that combines the advantages of connectionism with those of traditional symbolic models for parsing realistic sub-domains of natural language.
Palmer-Brown, D, Tepper, JA, Powell, HM
core +1 more source
In recent years, the rapid development of Multimodal Large Language Models (MLLMs) and their applications in earth observation have garnered significant attention.
Wenjia XU +8 more
doaj +1 more source
Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
wiley +1 more source

