
‘These models will always hallucinate’: Seth Dobrin on LLMsDek
American Banker Podcast
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Navigating Data Ethics and Utility in Large Language Models
This chapter explores the integration of diverse data types into large language models in the banking sector, weighing the pros and cons of proprietary versus public data sources. It also addresses ethical considerations, including regulatory compliance and fair compensation for content creators.
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