The Data Governance Challenges of LLMs
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Challenges of Data Governance in Large Language Models
The speakers discuss the challenges of data governance in large language models (LLMs) and generative AI, including privacy, bias, intellectual property rights, and sharing of information. They emphasize the importance of fact-checking and being aware of inaccuracies in generative AI. They also highlight the need for proper classification and handling of LLMs based on sensitivity.
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