<ul><li>MIT-birthed startup Liquid AI has introduced STAR (Synthesis of Tailored Architectures), an innovative framework designed to automate the generation and optimization of AI model architectures.</li><li>The STAR framework uses evolutionary algorithms and a numerical encoding system to balance quality and efficiency in deep learning models.</li><li>In tests, STAR-evolved architectures outperformed highly-optimized Transformer++ and hybrid models in autoregressive language modeling.</li><li>Liquid AI envisions STAR being used to tackle challenges in domains where the trade-off between quality and computational efficiency is critical.</li></ul>

Liquid AI’s new STAR model architecture outshines Transformer efficiency

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