ARTIFICIAL INTELLIGENCE REASONING: THE FOREFRONT OF IMPROVEMENT TRANSFORMING AVAILABLE AND OPTIMIZED NEURAL NETWORK INCORPORATION

AI has made remarkable strides in recent years, with algorithms achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in deploying them effectively in everyday use cases. This is where inference in AI becomes crucial, surfacing as a primary concern for researchers and industry prof