Liquid Foundational Models (LFM): Overview and Architecture
Liquid Foundational Models (LFM) are a cutting-edge evolution of Liquid Neural Networks (LNNs) designed to function as foundational models for a wide array of AI tasks. LFMs aim to be adaptable, efficient, and scalable, handling diverse tasks including language understanding, robotics, and real-time decision-making—all within a unified architecture. What sets LFMs apart is their ability […]
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