Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss ...

Abstract: This paper presents a novel design of a multi-agent system framework that applies large language models (LLMs) to automate the parametrization of simulation models in digital twins. This ...

Abstract: Traditional industrial automation systems require specialized expertise to operate and complex reprogramming to adapt to new processes. Large language models offer the intelligence to make ...

In September 2024, OpenAI previewed a model that behaved differently from the AI systems most people had grown accustomed to.

You know what’s cheaper than large language models? Small language models, which are designed for specialized tasks and can ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

OpenAI previewed the GPT-5.6 family on June 26, 2026, opening access to a limited group of partner organizations ahead of a ...

Khalifa University of Science and Technology today announced that TelecomGPT-R1, an artificial intelligence model developed ...

A good software architecture ensures that an AI system does not depend on the performance of a specific model.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

Artificial intelligence is rapidly finding its way into nearly every industry, but aviation has ...