A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
Introduction: Adaptations are common, expected, and often imperative for successful uptake and sustained implementation of clinical or public health programs in real-world practice settings.
As a result, researchers are now exploring new strategies such as iterative and hierarchical reasoning. These methods aim to make reasoning deeper, more efficient, and more robust. This article ...
The variational iteration method was proposed by Ji-Huan He in later 1990s [1,2]. It has been caught much attention since 2007[3,4], when the method was systematically summarized and variational ...
Abstract: Based on the physics-informed neural network (PINN) method, a two-step inverse scattering method is proposed to improve the efficiency and accuracy of the inversion in this work. The first ...
A collection of software development examples using C#, CRUD operational models including a "Supermarket Rewards" console application running on Windows. Note: basic projects used to complete the ...
Abstract: The iterative physical optics (IPO) method is a valuable technique for analyzing coupled scattering problems. In contrast to the fast physical optics (FPO) method, this article proposes an ...
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