INTERPRETING BY MEANS OF NEURAL NETWORKS: THE FOREFRONT OF IMPROVEMENT FOR ENHANCED AND USER-FRIENDLY AUTOMATED REASONING INCORPORATION

AI has made remarkable strides in recent years, with algorithms surpassing human abilities in diverse tasks. However, the real challenge lies not just in developing these models, but in implementing them effectively in practical scenarios. This is where AI inference comes into play, emerging as a critical focus for researchers and tech leaders alik