👉 The Width fluid, often associated with Liquid Foundation Models (LFMs), is a novel approach to describing the dimensions and scales of data within a model's context. Unlike traditional methods that rely on fixed units (like pixels for images or words for text), Width fluid allows for dynamic and flexible scaling of information. It captures the essence of data's width, depth, and other intrinsic properties in a continuous, fluid manner, enabling models to handle diverse data types more effectively. This means that the Width fluid can adapt to varying input sizes and complexities, making it particularly useful for tasks that require understanding and processing of data with different scales and dimensions.
