This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

In artificial intelligence, 2025 marked a decisive shift. Systems once confined to research labs and prototypes began to ...

Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...

Large Language Models (LLMs) such as GPT-class systems have entered undergraduate education with remarkable speed, provoking ...

The hype around generative AI (GenAI) is undeniable. Tools like ChatGPT have captivated the public imagination, demonstrating an impressive ability to generate human-like text, create content and ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Nemotron-3 Nano (available now): A highly efficient and accurate model. Though it’s a 30 billion-parameter model, only 3 billion parameters are active at any time, allowing it to fit onto smaller form ...

The AI landscape is taking a dramatic turn, as small language and multimodal models are approaching the capabilities of larger, cloud-based systems. This acceleration reflects a broader shift toward ...