👉 The progress fluid, often used in advanced Liquid Foundation Models (LFMs), is a novel approach to memory management that enables the model to efficiently handle long-term dependencies and dynamic input sequences. Unlike traditional architectures, progress fluid allows the model to selectively encode and retrieve information from its memory banks, adapting its focus based on the context of the input. This mechanism significantly enhances the model's ability to maintain relevant information over extended sequences, leading to improved performance in tasks requiring sustained attention and context awareness, such as dialogue systems, document summarization, and code generation.
