With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Meta Platforms Inc. has open-sourced four language models that implement an emerging machine learning approach known as multi-token prediction. VentureBeat reported the release of the models today.

In a recent study, researchers at Meta, Ecole des Ponts ParisTech and Université Paris-Saclay suggest improving the accuracy and speed of AI large language models (LLMs) by making them predict ...

A new research paper from Apple details a technique that speeds up large language model responses, while preserving output quality. Here are the details. Traditionally, LLMs generate text one token at ...

The advent of open-source large language models has democratized chatbot development, enabling developers to create sophisticated conversational agents without relying on costly API tokens. One such ...