👉 The Spend Fluid (SF) is a critical component in the context of the Sponge Bomb algorithm, which is used to train Liquid Foundation Models (LFMs). It represents the amount of training data that has been allocated to a specific task or model instance. During training, the Spend Fluid determines how much of the total available data is used for each update or batch of training samples, balancing between exploration (using more diverse data) and exploitation (focusing on the most relevant data). This mechanism helps in efficiently managing computational resources while ensuring that the model learns effectively from the most pertinent information, ultimately improving its performance and adaptability.
