Results 61 to 70 of about 58,933 (244)
Assessing Lag-Llama in Probabilistic Time Series Forecasting for the Indonesian Stock Market [PDF]
Accurately predicting stock prices is crucial for investors and policymakers. This paper presents the first empirical evaluation of Lag-Llama, a novel probabilistic time series forecasting model, for predicting stock prices on the Indonesian Stock ...
Nasution, Arbi Haza +3 more
core +2 more sources
Dualidad maíz-llama y sincretismo religioso andino
PrometeicaSe investiga sobre cómo el maíz y la llama, modestísimos elementos vinculados a la vida cotidiana andina, tuvieron destacado significado religioso en Perú prehispánico y siguen asumiendo, en gran parte de la cultura andina quechua, connotaciones ...
Francisco Espinoza Montes +1 more
doaj +1 more source
Agribusiness, EarlyView.ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
eLife, 2019 Nanobodies (nAbs) are small, minimal antibodies that have distinct attributes that make them uniquely suited for certain biomedical research, diagnostic and therapeutic applications.
Jie-Xian Dong +11 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Advanced 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
LLaMA Pro: Progressive LLaMA with Block Expansion [PDF]
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
Luo, Ping +7 more
core +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
Advanced 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
Examining the LLAMA aptitude tests [PDF]
, 2017 This study assesses the reliability1 of the LLAMA aptitude tests (Meara, 2005). The LLAMA tests were designed as shorter, free, language-neutral tests loosely based on the MLAT tests (Carroll & Sapon, 1959).
Clare Curry +4 more
core +1 more source