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.

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 ...

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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The funding will be used to help pay for OpenAI's commitment to Stargate, a US government-backed joint venture between the AI company, SoftBank and Oracle to invest up to £405bn in AI projects and inf

China's AI advancements, led by DeepSeek, are reshaping global power. Learn why Dario Amodei warns of the urgent need for ethical oversight