#223 [Radar Recap] Charting the Path: What the Future Holds for Generative AI
DataFramed
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Exploring Training Data Saturation in Generative AI Models
This chapter explores the challenges of training data saturation in generative AI models, highlighting the limitations of current data efficiency and performance. The discussion also considers future innovations, including synthetic data, that may pave the way for advancements in model training.
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