👉 The template fluid is a core component of Liquid Foundation Models (LFMs), serving as the fundamental building block that defines the model's architecture and behavior. Unlike traditional neural networks, LFMs are constructed from a series of predefined, composable modules that can be combined in various configurations to create diverse models tailored for specific tasks. These modules are designed to handle a wide range of data types and operations, from basic arithmetic to complex sequence processing, while maintaining a consistent interface. This modular approach allows for greater flexibility and efficiency in model design, enabling LFMs to outperform many conventional models in both performance and adaptability.