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1、V00000001Enhancing Generative AI with InstructLabfor Accessible Model Fine-TuningCedric ClyburnSenior Developer AdvocatecedricclyburnWe have access to powerful AI,but how do we use it for our specific use case?23Model provenance&licensingExplainability&transparency with AIOrganization PolicyRestrict
2、ionsLegal exposures withGenerative AIRegulatory and datarestrictionsPredictability&testing AI resultsSustainability with AIComplexity of operationalizing AICost of model service&computeV0000000Chat Bot Promised 1$Truck No Take Backsies!Model provenance&licensingCompany policy restrictionsLegal expos
3、uresCost of model serviceUnsustainable levels of compute&data requiredComplexity as a barrier&limited access to talentModel provenance&licensingCompany policy restrictionsLegal exposuresCost of model serviceUnsustainable levels of compute&data requiredUnexpected Bias and DiscriminationLimitations of
4、 Large Language ModelsSource:https:/ provenance&licensingCompany policy restrictionsLegal exposuresCost of model serviceUnsustainable levels of compute&data requiredComplexity as a barrier&limited access to talentModel provenance&licensingCompany policy restrictionsLegal exposuresCost of model servi
5、ceUnsustainable levels of compute&data requiredUnexpected Bias and DiscriminationChat Bot Promised 1$Truck No Take Backsies!Limitations of Large Language ModelsSource:https:/ provenance&licensingCompany policy restrictionsLegal exposuresCost of model serviceUnsustainable levels of compute&data requi
6、redComplexity as a barrier&limited access to talentModel provenance&licensingCompany policy restrictionsLegal exposuresCost of model serviceUnsustainable levels of compute&data requiredUnexpected Bias and DiscriminationLimitations of Large Language ModelsSource:https:/ provenance&licensingCompany po