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and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated.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.

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

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Abstract: In industrial soft-sensor applications, labeled samples are often scarce and unable to fully represent the dynamic changes in industrial processes. Although semi-supervised methods offer a ...

Abstract: The application of AI-generated models demands substantial amounts of data, which not only increases training time and memory consumption but also poses challenges to computation and ...

In chemistry, solvents (generally in liquid form) are used to dissolve, suspend or extract other materials, typically without chemically altering either the solvent or the other materials. Solvents ...