Results 11 to 20 of about 515,082 (194)
Physical Review D, 2018 We introduce a mathematical framework for quantifying fine-tuning in general physical settings. In particular, we identify two distinct perspectives on fine-tuning, namely, a local and a global perspective --- and develop corresponding measures. These measures apply broadly to settings characterized by an arbitrary number of observables whose values ...
Azhar, Feraz, Loeb, Abraham
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International Journal of Modern Physics A, 1993 We develop further a new geometrical model of a discretized string, proposed in Ref. 1, and establish its basic physical properties. The model can be considered as the natural extension of the usual Feynman amplitude of the random walks to random surfaces.
Savvidy, G. K., Savvidy, K. G.
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Proceedings of the AAAI Conference on Artificial Intelligence, 2019 In real-world applications, commercial off-the-shelf systems are utilized for performing automated facial analysis including face recognition, emotion recognition, and attribute prediction. However, a majority of these commercial systems act as black boxes due to the inaccessibility of the model parameters which makes it challenging to fine-tune the ...
Chhabra, Saheb +3 more
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Fine-tuning metabolic switches.
PLoS Biology, 2013 Cells get the energy for most of their activities in the form of adenosine triphosphate (ATP), which is generated through the breakdown of glucose and lipid molecules. Partial breakdown of a single glucose molecule through glycolysis yields 2 ATP molecules; and when glycolysis is followed by pyruvate decarboxylation and the tricarboxcylic acid (TCA ...
Caitlin Sedwick
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An efficient strategy for fine-tuning large language models. [PDF]
Front Artif IntellIntroductionLarge Language Models (LLMs) achieve strong performance on many Natural Language Processing tasks, but adapting them to domain-specific applications is resource-intensive due to the cost of curating task-specific datasets and the compute ...
Marsh B +4 more
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J Med Internet ResBackgroundLarge language model (LLM) fine-tuning is the process of adjusting out-of-the-box model weights using a dataset of interest. Fine-tuning can be a powerful technique to improve model performance in fields like medicine, where LLMs may have poor ...
Savage T +6 more
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Journal of Marine Science and Engineering, 2021 A method based on a coarse- and fine-tuning fixed-grid wavelet networks is presented for online prediction of the coupled heave-pitch motions of a ship in irregular waves.
Baigang Huang +2 more
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Is The Fine-Tuning Argument Theistic? [PDF]
پژوهشنامه فلسفه دین, 2021 I intend to show that the fine-tuning argument is not a theistic one, and is therefore not desirable for the theist. I will argue that (1) if the fine-tuning of the cosmos exceeds that which is required for the existence of human beings, it would not be ...
Mohammad Ebrahim Maqsudi
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Future Internet, 2023 With sentiment prediction technology, businesses can quickly look at user reviews to find ways to improve their products and services. We present the BertBilstm Multiple Emotion Judgment (BBMEJ) model for small-sample emotion prediction tasks to solve ...
Jinlong Wang, Dong Cui, Qiang Zhang
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Science, 2020 Targeted degradation determines whether embryonic stem cells undergo ...
Borsa, Mariana, Simon, Anna Katharina
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