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 ...
IEEE

Matrix Adaptive Correction-Based Dynamic Dimensionality Reduction Method for Voltage-Related TSCOPF in Bulk Power Systems With High Wind Power Penetration

Abstract: Transient security-constrained optimal power flow (TSCOPF) is an important class of problems for system operation. Several challenges arise when dealing with bulk power grids, including the ...
IEEE

Dynamic Event-Triggered Model-Free Reinforcement Learning for Cooperative Control of Multiagent Systems

In this article, a novel model-free dynamic event-triggered adaptive learning control scheme is developed for continuous-time linear multiagent systems. This control scheme is different from ...
Reuters

Videogame stocks slide on Google's AI model that turns prompts into playable worlds

Jan 30 (Reuters) - Shares of videogame companies fell sharply in afternoon trading on Friday after Alphabet's Google (GOOGL.O), opens new tab rolled out its artificial intelligence model capable of ...