Generative AI (GenAI) has enormous potential but raises thorny issues. To get to grips with these issues, it’s important to focus on the underlying drivers of the problems and the solutions. This paper highlights the critical role of data as a “production input” across all three stages in the GenAI value chain: foundation models, fine-tuned models and grounded applications. We show how, in each stage, data is particularly important to developing and improving models, directly reducing misi
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