IMPROVINGTHEEFFICIENCYOFTRAININGARTIFICIALINTELLIGENCEMODELSUSINGNUMERICALMETHODS
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Thisstudyexploresmethodsforimprovingtheefficiencyoftrainingartificialintelligence(AI)modelsthroughnumericaltechniques.TheresearchfocusesonoptimizingneuralnetworksandsequentialmodelsusingGradientDescent,StochasticGradientDescent,andRunge–Kuttaalgorithms.Experimentalresultsdemonstratethatnumericalapproachessignificantlyenhancemodelaccuracy,reduceerrorrates,andacceleratethetrainingprocess.InthecontextofUzbekistan,integratingAImodelsintodigitaleducationplatformsenablespersonalizedandinteractivelearning,reducesteachers’workload,andimprovesstudentengagementandacademicperformance
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Zenodo创建时间：
2026-04-08
