Results 61 to 70 of about 159,042 (301)

Spartan Daily, February 22, 2006 [PDF]

open access: yes, 2006
Volume 126, Issue 16https://scholarworks.sjsu.edu/spartandaily/10216/thumbnail ...
San Jose State University, School of Journalism and Mass Communications
core   +2 more sources

LLaMA Pro: Progressive LLaMA with Block Expansion

open access: yesProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Humans generally acquire new skills without compromising the old; however, the opposite holds for Large Language Models (LLMs), e.g., from LLaMA to CodeLLaMA. To this end, we propose a new post-pretraining method for LLMs with an expansion of Transformer blocks.
Chengyue Wu   +7 more
openaire   +2 more sources

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

The Daily Texan [PDF]

open access: yes, 2016
Texas Student ...
University of Texas at Austin
core   +1 more source

Ossifying Fibroma in a Llama [PDF]

open access: yesJournal of Veterinary Diagnostic Investigation, 2000
A 4.5-year-old llama was admitted for evaluation of a firm mass rostral and ventral to the medial canthus of the left eye. Mucopurulent nasal discharge and absence of airflow through the left nostril were noted. Radiographs of the skull revealed a sharply demarcated soft tissue mass with faint mineralization. Endoscopy of the nasal passages revealed a
C T, McCauley   +3 more
openaire   +2 more sources

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee   +3 more
wiley   +1 more source

Clasificación del recurso zoogenético llama (Lama glama Linnaeus) respecto a la aptitud productiva de fibra o carne en el Altiplano xerofítico y mesofítico de Bolivia

open access: yesRevista de Investigación e Innovación Agropecuaria y de Recursos Naturales, 2019
En el Altiplano boliviano la ganadería de llamas es fundamental para la seguridad y soberanía alimentaria de las poblaciones rurales, pues proporciona carne, fibra, pieles y estiércol, asimismo, las poblaciones de llamas fueron denominadas como razas ...
Genaro Condori C.
doaj  

The effect of seminal plasma β-NGF on follicular fluid hormone concentration and gene expression of steroidogenic enzymes in llama granulosa cells

open access: yesReproductive Biology and Endocrinology, 2019
Background Nerve growth factor (β-NGF) from llama seminal plasma has been described as a potent ovulatory and luteotrophic molecule after intramuscular or intrauterine infusion in llamas and alpacas.
Ximena P. Valderrama   +3 more
doaj   +1 more source

Caracterización de IgM, IgG Total, IgG1 y anticuerpos de cadena pesada en calostro de llamas ("Lama glama") mediante Elisa [PDF]

open access: yes, 2014
Objectives: to determine the levels of IgM, total IgG, IgG1 and HCAbs (IgG2 and IgG3) in colostra of llamas and to evaluate the concentration of HCAbs in relation to total IgG and the conventional isotype IgG1.
Caggiano, Nicolás   +5 more
core   +2 more sources

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

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