Synthetic data and the risk of 'model collapse'
Briefly

Nvidia's purchase of Gretel, a startup focused on synthetic data generation, highlights the company's efforts to bolster its offerings amid ongoing shortages of traditional data. This acquisition is especially strategic given the increasing limitations on human-generated data from various platforms, who are now capitalizing on their digital assets. With advancements in AI models like GPT-4 and rising costs of accessing human data, synthetic data becomes not only an innovative solution but also a potentially disruptive force for GenAI, as it could reduce reliance on traditional data sources.
Nvidia's acquisition of Gretel, a synthetic data expert, underscores the company’s strategy to expand its software suite and address the increasing scarcity of available data.
The significant rise in demand for synthetic data solutions comes at a time when human-generated data supply is dwindling due to content providers tightening access and monetizing their assets.
With the growing realization of the value of their data, platforms like Reddit and news organizations have started to impose restrictions and fees, complicating data gathering for AI training.
Synthetic data generation could pose a long-term risk to GenAI as traditional data sources become less reliable and more costly, pushing for alternatives.
Read at Techzine Global
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