👉 The broadcast fluid is a concept from Liquid Time Series Commands (LTS), particularly in the context of Liquid Foundation Models (LFM). It refers to a novel approach to defining and manipulating time series data by treating the entire sequence as a single, continuous fluid rather than a series of discrete points. This allows for more flexible and expressive modeling of temporal dependencies, as it can capture complex dynamics and interactions within the data without the need for traditional gating mechanisms or recurrent layers. By representing the time series as a smooth, continuous entity, the broadcast fluid enables more efficient and effective training of models, especially for tasks involving long-range dependencies and intricate temporal patterns.
