Deducing using Automated Reasoning: A Disruptive Cycle for Streamlined and Attainable Neural Network Architectures

Machine learning has made remarkable strides in recent years, with models matching human capabilities in various tasks. However, the real challenge lies not just in training these models, but in utilizing them effectively in everyday use cases. This is where AI inference takes center stage, arising as a key area for researchers and innovators alike

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