Data Scarcity in Generative Modeling Generative models traditionally rely on large, high-quality datasets to produce samples that replicate ...
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The growth in developing and deploying large language models (LLMs) is closely tied to architectural innovations, large-scale datasets, and ...
More from the Angel Investor Performance Project data. Much of the financial activity at early stage companies happens around investment rounds. ...
AbstractBackgroundAlthough there is evidence that sitting time (ST) and insufficient physical activity (PA) are associated with premature mortality, the ...
Large Language Models (LLMs) have demonstrated remarkable reasoning capabilities across diverse tasks, with Reinforcement Learning (RL) ...
AbstractBackgroundUnderstanding of the factors influencing oesophageal cancer trends is crucial. Therefore, this cross-sectional cohort study sought to ...
Building machine learning models is an undertaking which is now within everyone’s reach.
When I first started teaching my art room had NOTHING in it but a bowling pin, a Leonardo da Vinci board game with the pieces missing, a coffee can of ...
The COVID-19 pandemic highlighted how crucial testing is for disease preparedness and response, and new research from the Johns Hopkins Applied Physics ...
LLMs have demonstrated strong general-purpose performance across various tasks, including mathematical reasoning and automation. However, they ...