In the multifaceted world of AI-generated art, the term “curation” holds a unique significance. Rather than simply selecting existing works for display, curation in this context involves the careful construction of image and idea datasets that enable AI networks to produce truly innovative and meaningful artwork. The process of dataset curation and it’s evolution is critical, as the quality thereof directly impacts the network’s ability to learn and respond to its subject matter with depth and nuance.
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