State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing 210009, PR China ...

As new large language models, or LLMs, are rapidly developed and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated. To identify ...

The developments in the Anthropic case have serious implications for AI development and national security calculus worldwide ...

Kannauj’s attar and rose water industry continues its traditional distillation practices, supported by ODOP and growing domestic demand.

MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and needs 2.5x compute.

Abstract: Deep neural networks suffer from catastrophic forgetting when trained on sequential tasks in continual learning. Various methods rely on storing data of previous tasks to mitigate ...

Elysse Bell is a finance and business writer for Investopedia. She writes about small business, personal finance, technology, and more. Dr. JeFreda R. Brown is a financial consultant, Certified ...

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds enterprise system prompt instructions into model weights, reducing inference ...

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 ...

Matt Webber is an experienced personal finance writer, researcher, and editor. He has published widely on personal finance, marketing, and the impact of technology on contemporary arts and culture. 10 ...

OpenAI accused Chinese startup DeepSeek of misusing its AI technology via distillation techniques Distillation involves smaller AI models learning from larger models by mimicking their responses The ...