Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss sees it. A paper posted today on arXiv identifies this readout blind spot, ...

Artificial intelligence developers are increasingly building language models with warm and friendly personas that millions of people now use for advice, therapy and companionship 1. Here we show how ...

Giving AI a human-like memory limitation may actually help it learn language better. In their new proof-of-principle study, ...

Language models are a type of AI that can learn complex patterns within sequences, such as words in a sentence or amino acids in a protein 1. These models have gained popularity in recent years owing ...

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

Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path. To overcome this brute-force ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. Amidst all the ...