DECIDING VIA NEURAL NETWORKS: THE BLEEDING OF GROWTH TRANSFORMING USER-FRIENDLY AND HIGH-PERFORMANCE PREDICTIVE MODEL REALIZATION

Machine learning has made remarkable strides in recent years, with algorithms surpassing human abilities in diverse tasks. However, the true difficulty lies not just in creating these models, but in deploying them efficiently in real-world applications. This is where machine learning inference takes center stage, surfacing as a primary concern for