Results 141 to 150 of about 619,505 (306)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel +8 more
wiley +1 more source
Linearizing Large Language Models
CoRRLinear transformers have emerged as a subquadratic-time alternative to softmax attention and have garnered significant interest due to their fixed-size recurrent state that lowers inference cost. However, their original formulation suffers from poor scaling and underperforms compute-matched transformers. Recent linear models such as RWKV and Mamba have
Jean Mercat +6 more
openaire +2 more sources
Comparison of Large Language Models in Retrieval-Augmented Generation
openIl presente documento descrive il lavoro svolto durante il periodo di stage dal laureando Andrea Cecchin, studente dell’Università degli Studi di Padova, presso l’azienda Sync Lab Srl.
CECCHIN, ANDREA
core
Popular LLM-Large Language Models in Enterprise Applications
For the public, understanding Large Language Models (LLMs) can be likened to recognizing how a well-trained assistant works-one that has read an extensive library of information on virtually every topic imaginable.
Vadapalli, Ravi +3 more
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Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende +26 more
wiley +1 more source
Causality for Large Language Models
CoRRRecent breakthroughs in artificial intelligence have driven a paradigm shift, where large language models (LLMs) with billions or trillions of parameters are trained on vast datasets, achieving unprecedented success across a series of language tasks.
Anpeng Wu +9 more
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Large language model applications in nucleic acid research
Genomics CommunicationsRecent advances have demonstrated the capabilities of large language models (LLMs) in harnessing nucleotide information to address biological questions. There is growing interest in exploring the potential synergies between LLMs and genome research. Here,
Lei Li, Cheng Zhao
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Purpose Air pollution has been linked to several neurological conditions, including stroke and neurodegenerative diseases. Evidence regarding its association with multiple sclerosis (MS) remains conflicting, limited by small sample sizes. Methods PubMed, Embase, Scopus, and Cochrane controlled register of trials (CENTRAL) were searched on ...
Ahmad A. Toubasi, Thuraya N. Al‐Sayegh
wiley +1 more source
, 2003 We describe a constrained natural language interface to a large knowledge base, the Foundational Model of Anatomy (FMA). The interface, called GAPP, handles simple or nested questions that can be parsed to the form, subject-relation-object, where subject
Brinkley, James F +3 more
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Complementarity of Long‐Reads and Optical Mapping in Parkinson's Disease for Structural Variants
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Long‐read sequencing and optical genome mapping technologies have the ability to detect large and complex structural variants. This has led to the discovery of novel pathogenic variants in neurodegenerative movement disorders. Thus, we aimed to systematically compare the SV detection capabilities of OGM and ONT in Parkinson's disease.
André Fienemann +17 more
wiley +1 more source