Tech Xplore

AI gets a private tutor for learning human preferences more accurately

No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?
Security Boulevard

Homomorphic Encryption for Privacy-Preserving Model Context Sharing

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

Stop using ChatGPT for everything: I use these AI models for research, coding, and more (and which I avoid)

ZDNET's key takeaways Different AI models win at images, coding, and research.App integrations often add costly AI subscription layers.Obsessing over model version matters less than workflow. The pace ...
IEEE

Lightweight Model Pre-Training via Language Guided Knowledge Distillation

Abstract: This paper studies the problem of pre-training for small models, which is essential for many mobile devices. Current state-of-the-art methods on this problem transfer the representational ...
IEEE

Joint Dynamic Data and Model Parallelism for Distributed Training of DNNs Over Heterogeneous Infrastructure

Abstract: Distributed training of deep neural networks (DNNs) suffers from efficiency declines in dynamic heterogeneous environments, due to the resource wastage brought by the straggler problem in ...
Reuters

China's tech giants move AI model training overseas to access Nvidia chips, FT reports

Nov 27 (Reuters) - Top Chinese firms are training their artificial intelligence models abroad to access Nvidia's (NVDA.O), opens new tab chips and avoid U.S. measures aimed at curbing their progress ...