REASONING USING AUTOMATED REASONING: A DISRUPTIVE CYCLE TOWARDS RAPID AND UNIVERSAL INTELLIGENT ALGORITHM ECOSYSTEMS

Machine learning has advanced considerably in recent years, with models surpassing human abilities in diverse tasks. However, the real challenge lies not just in training these models, but in utilizing them optimally in practical scenarios. This is where machine learning inference takes center stage, surfacing as a key area for scientists and indus