Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
Tech Xplore

Adaptive drafter model uses downtime to double LLM training speed

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
New York Magazine

Why AI Companies Are Suddenly So Worried About Theft

Anthropic, which has positioned itself as the cautious, safety-focused lab, suggests that model scraping could be used to build powerful tools stripped of safeguards meant to “prevent state and ...

Solving The Data Bottleneck For Physical AI

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
IEEE

Learning Beyond Time: Transformation-Aware Diffusion for Data-Augmented Soft-Sensor Modeling

Abstract: In industrial soft-sensor modeling, the scarcity and imbalance of process data often lead to overfitting and poor generalization of predictive models. To address these challenges, this ...