AUTOMATED REASONING PREDICTION: THE FUTURE TERRITORY FOR ATTAINABLE AND STREAMLINED NEURAL NETWORK DEPLOYMENT

AI has advanced considerably in recent years, with algorithms surpassing human abilities in diverse tasks. However, the true difficulty lies not just in developing these models, but in deploying them optimally in everyday use cases. This is where machine learning inference becomes crucial, emerging as a primary concern for scientists and industry p