👉 The DL fluid, short for Deep Learning Fluid, is a concept introduced by Liquid AI to describe their unique approach to deep learning models. Unlike traditional neural networks that rely on fixed layers and connections, DL fluid models are designed to dynamically adjust their architecture during training based on the input data. This adaptability allows DL fluid models to efficiently handle a wide variety of tasks, from simple sequence modeling to complex multimodal applications, by optimizing their structure in real-time. This fluidity and adaptability are achieved through a combination of computational units and attention mechanisms, making DL fluid models highly efficient and effective for a broad range of deep learning applications.
