Abstract: Knowledge distillation, which intends to transfer the expertise from a complex teacher model to a concise student model, has achieved impressive success in object detection. However, many ...

Anthropic accused three Chinese AI firms of engaging in concerted "distillation attack" campaigns. U.S. companies like Anthropic and OpenAI are concerned with ceding a competitive advantage to such ...

Anthropic is accusing three Chinese artificial intelligence companies of "industrial-scale campaigns" to "illicitly extract" its technology using distillation attacks. Anthropic says these companies ...

Abstract: Previous knowledge distillation (KD) methods mostly focus on compressing network architectures, which is not thorough enough in deployment as some costs like transmission bandwidth and ...

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and simplify model management. A new fine-tuning technique aims to solve ...

The troubleshooting methods described here can help engineers to understand operational realities when “running blind” in complex distillation processes One of the most critical aspects in ethanol ...

Jonathan Anderson came with some divine inspiration — but was it too much? By Jacob Gallagher Bright and early Wednesday morning, at a preview of the Dior collection I would see six hours later, the ...

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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 ...

Model distillation is one of the technology trends that has reached a level of maturity identified in Gartner’s 2025 Hype Cycle for artificial intelligence (AI) as “the slope of enlightenment”.

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 ...