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How a big shift in training LLMs led to a capability explosion
When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...
Novel model optimization algorithm improves robustness of near-infrared spectroscopy models
A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...
IEEE3d
Recurrent Neural Networks Trained With Backpropagation Through Time Algorithm to Estimate Nonlinear Load Harmonic Currents - IEEE Xplore
Generation of harmonics and the existence of waveform pollution in power system networks are important problems facing the power utilities. The determination of harmonic currents injected into a power ...
TechRepublic4d
TechRepublic Resource Library
TechRepublic Resource Library Find Search or Browse our extensive library Download Free resources at the click of a button Solve If you have a problem, we have the solution ...
IEEE1d
Backpropagation and Levenberg-Marquardt Algorithm for Training Finite Element Neural Network - IEEE Xplore
In this paper, finite element based neural network is developed. The purpose is to solve differential equation and inverse problem of differential equation. Inverse problem of differential equation is ...
Cochrane12h
Common errors in meta-analysis – lessons from the Cochrane review screening programme | Cochrane
A Cochrane Learning Live webinar on common statistical errors in Cochrane Reviews was organized by the Statistical Methods Group, with support from the Cochrane Learning and Support Department. The ...