REASONING THROUGH PREDICTIVE MODELS: A CUTTING-EDGE AGE IN OPTIMIZED AND REACHABLE NEURAL NETWORK MODELS

Artificial Intelligence has made remarkable strides in recent years, with systems achieving human-level performance in numerous tasks. However, the true difficulty lies not just in developing these models, but in utilizing them effectively in everyday use cases. This is where AI inference becomes crucial, surfacing as a critical focus for scientist