DEDUCING USING AUTOMATED REASONING: A TRANSFORMATIVE CYCLE ENABLING RAPID AND UNIVERSAL COMPUTATIONAL INTELLIGENCE MODELS

Machine learning has achieved significant progress in recent years, with systems matching human capabilities in diverse tasks. However, the true difficulty lies not just in training these models, but in utilizing them efficiently in practical scenarios. This is where inference in AI takes center stage, arising as a primary concern for scientists an