LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...
Abstract: Knowledge distillation (KD) is a prevalent model compression technique in deep learning, aiming to leverage knowledge from a large teacher model to enhance the training of a smaller student ...
The original version of this story appeared in Quanta Magazine. The Chinese AI company DeepSeek released a chatbot earlier this year called R1, which drew a huge amount of attention. Most of it ...
The Chinese AI company DeepSeek released a chatbot earlier this year called R1, which drew a huge amount of attention. Most of it focused on the fact that a relatively small and unknown company said ...
Source: ChatGPT modified by NostaLab. Put on your epistemological thinking cap—something foundational is ending. Not with a dramatic fracture, but with a quiet erosion that few noticed and fewer still ...
What if the most powerful artificial intelligence models could teach their smaller, more efficient counterparts everything they know—without sacrificing performance? This isn’t science fiction; it’s ...
Sarah Vivienne Bentley does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations ...
In today's rapidly changing world, innovation and knowledge for development are more crucial than ever. The World Bank Group is renewing its approach to knowledge, ensuring that the best global ...
If you’re like me, you’ve heard plenty of talk about entity SEO and knowledge graphs over the past year. But when it comes to implementation, it’s not always clear which components are worth the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results