DeepSeek’s success learning from bigger AI models raises questions about the billions being spent on the most advanced technology.
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.
Microsoft and OpenAI are investigating whether DeepSeek, a Chinese artificial intelligence startup, illegally copying proprietary American technology, sources told Bloomberg
AI-driven knowledge distillation is gaining attention. LLMs are teaching SLMs. Expect this trend to increase. Here's the insider scoop.
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.
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.
OpenAI believes DeepSeek used a process called “distillation,” which helps make smaller AI models perform better by learning from larger ones.
DeepSeek AI exposed a database containing secret keys, chat logs, and backend data, allowing full system access.
OpenAI announced it has uncovered evidence that Chinese artificial intelligence startup DeepSeek allegedly used its proprietary models for unauthorized training purposes, the ChatGPT maker told the Financial Times,
Experts say AI model distillation is likely widespread and hard to detect, but DeepSeek has not admitted to using it on its full models.