Browsing: llms

A new diagnostic framework enables real-time detection of visual grounding errors in transformer-based vision-language models.

Researchers demonstrate that hybrid quantum-classical architectures can reduce perplexity in large language models while minimizing parameter overhead.

The new MAI model family integrates custom silicon and reinforcement learning to provide enterprises with greater control over model weights and operational workflows.

The ALCF is deploying a scalable, on-premises inference framework to provide DOE researchers with direct access to foundation models for high-performance computing.

The Reserve Bank of India is reviewing a new framework to govern machine learning deployment in financial services, balancing innovation with technical safety.