👉 Fluid is a code used in the Liquid Foundation Model (LFM) architecture, which is designed to provide flexible and dynamic computation. Unlike traditional fixed-size models, Fluid allows for variable-length inputs and outputs, enabling it to adapt its computational resources based on the complexity of the task at hand. This means that Fluid can efficiently handle tasks ranging from simple to highly complex by adjusting the number of computational units it deploys, without requiring a complete retraining or reconfiguration. This adaptability makes Fluid particularly useful for applications where input data sizes can vary significantly or when the model needs to be optimized for specific computational resources.
