Abstract: The demand for efficient large language model (LLM) inference has propelled the development of dedicated accelerators. As accelerators are vulnerable to hardware faults due to aging, ...
INFO 07-15 21:27:10 [config.py:841] This model supports multiple tasks: {'reward', 'classify', 'embed', 'generate'}. Defaulting to 'generate'. WARNING 07-15 21:27:10 [config.py:3320] Your device 'cpu' ...
This work introduces a statistical framework to obtain Bayesian constraints on planet formation parameters, which offers a probabilistic interpretation of uncertainties and degeneracies contained ...
ABSTRACT: In normal theory exploratory factor analysis, likelihood ratio (LR) statistic plays an important role in evaluating the goodness-of-fit of the model. In this paper, we derive an ...
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