Language models (LMs) based on transformers have become the gold standard in natural language processing, thanks to their exceptional performance, parallel processing capabilities, and ability to ...

A foundation model refers to a pre-trained model developed on extensive datasets, designed to be versatile and adaptable for a range of downstream tasks. These models have garnered widespread ...

Recent advancements in large language models (LLMs) have primarily focused on enhancing their capacity to predict text in a forward, time-linear manner. However, emerging research suggests that ...

The landscape of vision model pre-training has undergone significant evolution, especially with the rise of Large Language Models (LLMs). Traditionally, vision models operated within fixed, predefined ...

Navigation is a fundamental skill for any visually-capable organism, serving as a critical tool for survival. It enables agents to locate resources, find shelter, and avoid threats. In humans, ...

In a new paper Navigation World Models, a research team from Meta, New York University and Berkeley AI Research proposes a Navigation World Model (NWM), a controllable video generation model that ...

An Apple research team introduces AIMV2, a family of vision encoders that is designed to predict both image patches and text tokens within a unified sequence. This combined objective enables the model ...

In a new paper Wolf: Captioning Everything with a World Summarization Framework, a research team introduces a novel approach known as the WOrLd summarization Framework (Wolf). This automated ...

An Apple research team introduces the foundation language models developed to power Apple Intelligence features. These models include a ∼3 billion parameter model optimized for efficient on-device ...