PREDICTING THROUGH AUTOMATED REASONING: A DISRUPTIVE CYCLE IN STREAMLINED AND REACHABLE NEURAL NETWORK ARCHITECTURES

Predicting through Automated Reasoning: A Disruptive Cycle in Streamlined and Reachable Neural Network Architectures

Artificial Intelligence has made remarkable strides in recent years, with algorithms achieving human-level performance in diverse tasks. However, the main hurdle lies not just in developing these models, but in deploying them efficiently in real-world applications. This is where AI inference takes center stage, arising as a critical focus for exper

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