Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Fotouhi, Milad"'
Autor:
Fotouhi, Milad, Bahadori, Mohammad Taha, Feyisetan, Oluwaseyi, Arabshahi, Payman, Heckerman, David
We investigate the use of in-context learning and prompt engineering to estimate the contributions of training data in the outputs of instruction-tuned large language models (LLMs). We propose two novel approaches: (1) a similarity-based approach tha
Externí odkaz:
http://arxiv.org/abs/2408.11852
Publikováno v:
Journal of Measurements in Engineering; Jun2021, Vol. 9 Issue 2, p117-127, 11p
Autor:
Fotouhi, Mohamad, Saeedifar, Milad, Sadeghi, Seyedali, Ahmadi Najafabadi, Mehdi, Minak, Giangiacomo
Publikováno v:
Structural Health Monitoring; May2015, Vol. 14 Issue 3, p265-280, 16p
Publikováno v:
Journal of Nondestructive Evaluation; Dec2014, Vol. 33 Issue 4, p481-492, 12p
Plastic surgeons specializing in rhinoplasty will here find an essential resource bringing together the expertise they will need to offer non-invasive techniques in their practice. •Brings together all a surgeon needs to know for safe and effective
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