👉 A lookup fluid, often used in Liquid Foundation Models (LFMs), is a dynamic and flexible data retrieval mechanism that enables the model to access and incorporate external information in real-time during inference. Unlike traditional static lookup tables, the lookup fluid can query and integrate live data sources, such as databases, APIs, or even user inputs, allowing the model to adapt and provide more contextually relevant and up-to-date responses. This capability enhances the model's ability to handle complex, evolving queries by seamlessly blending internal computations with external data, making it particularly useful in applications requiring real-time decision-making or personalized interactions.
