ARTIFICIAL INTELLIGENCE REASONING: THE BLEEDING OF EVOLUTION DRIVING PERVASIVE AND EFFICIENT MACHINE LEARNING APPLICATION

Machine learning has achieved significant progress in recent years, with systems achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in implementing them optimally in practical scenarios. This is where inference in AI becomes crucial, surfacing as a critical focus for researchers