DeepSeek’s success learning from bigger AI models raises questions about the billions being spent on the most advanced technology.

Since Chinese artificial intelligence (AI) start-up DeepSeek rattled Silicon Valley and Wall Street with its cost-effective models, the company has been accused of data theft through a practice that is common across the industry.

Whether it's ChatGPT since the past couple of years or DeepSeek more recently, the field of artificial intelligence (AI) has seen rapid advancements, with models becoming increasingly large and complex.

Top White House advisers this week expressed alarm that China's DeepSeek may have benefited from a method that allegedly piggybacks off the advances of US rivals called "distillation."

One possible answer being floated in tech circles is distillation, an AI training method that uses bigger "teacher" models to train smaller but faster-operating "student" models.

Microsoft and OpenAI are investigating whether DeepSeek, a Chinese artificial intelligence startup, illegally copying proprietary American technology, sources told Bloomberg

If there are elements that we want a smaller AI model to have, and the larger models contain it, a kind of transference can be undertaken, formally known as knowledge distillation since you ...

DeepSeek is an artificial intelligence (AI) research lab based in China. The DeepSeek team found a way to develop powerful large language models (LLMs) for a tiny fraction of the money being spent by America's leading AI companies.

Top White House advisers this week expressed alarm that China's DeepSeek may have benefited from a method that allegedly piggybacks off the advances of U.S. rivals called "distillation."

After DeepSeek AI shocked the world and tanked the market, OpenAI says it has evidence that ChatGPT distillation was used to train the model.

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