Deducing using Automated Reasoning: A Transformative Cycle in Streamlined and Attainable Neural Network Frameworks

Machine learning has made remarkable strides in recent years, with models surpassing human abilities in diverse tasks. However, the main hurdle lies not just in training these models, but in utilizing them efficiently in real-world applications. This is where inference in AI comes into play, surfacing as a primary concern for scientists and innovat

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