Predicting using Automated Reasoning: The Zenith of Breakthroughs in Streamlined and Attainable Neural Network Architectures

Artificial Intelligence has made remarkable strides in recent years, with systems achieving human-level performance in various tasks. However, the true difficulty lies not just in creating these models, but in utilizing them optimally in practical scenarios. This is where machine learning inference comes into play, emerging as a critical focus for

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