A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...

English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I closely examine an innovative way of ...

TeleChat3 series – China Telecom’s TeleAI released the first large-scale Mixture-of-Experts (MoE) models trained entirely on ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Among such innovators leading this change, Automation Lead Mohnish Neelapu stands at the forefront of the movement to ...

OpenAI has introduced a new safety research approach designed to improve honesty and transparency in large language models (LLMs). The method requires the model to provide a "confession" after ...

The development of large language models (LLMs) is entering a pivotal phase with the emergence of diffusion-based architectures. These models, spearheaded by Inception Labs through its new Mercury ...