A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

Recent speech-aware large language models (Speech-LLMs) rely on a pre-trained speech encoder to convert audio into semantic-rich representations consumable by LLM. In this work, instead, we explore: ...

Not bad for limited hardware ...

Credit: VentureBeat made with OpenAI ChatGPT-Images-2.0 While many AI open source model providers are pursuing larger and more powerful models, Google is still giving attention to the smaller, more ...

Prompt caching has become a vital strategy for managing the rising costs of large language model (LLM) operations. By reusing previously computed data, this approach minimizes redundant computations, ...

Earlier this year, MediaTek unveiled the Dimensity 8500, a 4nm (TSMC N4P) chipset with all-big CPU cores (eight Cortex-A725) and a Mali-G720 MC8 GPU. Now the company is refreshing that chip as the ...

When Judith Miller received the results of a medical imaging study last year, the 77-year-old Wisconsin resident did what many patients nowadays do: she asked AI to explain them. Claude, a large ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. This voice experience is generated by AI. Learn more. This ...

A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling Co-Design,” was published by researchers at University of Edinburgh, Peking ...

is editor-in-chief of The Verge, host of the Decoder podcast, and co-host of The Vergecast. Today on Decoder, I want to lay out an idea that’s been banging around my head for weeks now as we’ve been ...