Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...
In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...
The evolution of artificial intelligence (AI) technologies has seen a massive expansion across various sectors, including healthcare, finance, software development and more. However, the success of ...
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