DeepSeek’s success learning from bigger AI models raises questions about the billions being spent on the most advanced technology.
AI-driven knowledge distillation is gaining attention. LLMs are teaching SLMs. Expect this trend to increase. Here's the insider scoop.
Microsoft and OpenAI are investigating whether DeepSeek, a Chinese artificial intelligence startup, illegally copying proprietary American technology, sources told Bloomberg
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.
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.
The Allen Institute for AI and Alibaba have unveiled powerful language models that challenge DeepSeek's dominance in the open-source AI race.
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.
OpenAI has claimed it found evidence suggesting that DeepSeek used distillation, a technique that extracts data from larger models to train smaller ones. OpenAI’s GPT-4 model, which cost over $100 million to train,
OpenAI thinks DeepSeek may have used its AI outputs inappropriately, highlighting ongoing disputes over copyright, fair use, and training data.