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 ...

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 ...

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.

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 ...

Researchers recently were able to get full read and write access to Meta's Bloom, Meta-Llama, and Pythia large language model (LLM) repositories, in a troubling demonstration of the supply chain risks ...