AUTOMATED REASONING COMPUTATION: THE FOREFRONT OF IMPROVEMENT TRANSFORMING OPTIMIZED AND AVAILABLE DEEP LEARNING FRAMEWORKS

Machine learning has advanced considerably in recent years, with algorithms achieving human-level performance in diverse tasks. However, the main hurdle 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 research