AUTOMATED REASONING PREDICTION: THE BLEEDING OF IMPROVEMENT TRANSFORMING AVAILABLE AND OPTIMIZED COGNITIVE COMPUTING EXECUTION

Machine learning has advanced considerably in recent years, with algorithms achieving human-level performance 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 scie