MACHINE LEARNING EXECUTION: THE FOREFRONT OF GROWTH IN USER-FRIENDLY AND RAPID COMPUTATIONAL INTELLIGENCE ADOPTION

Machine learning has achieved significant progress in recent years, with algorithms matching human capabilities in various tasks. However, the real challenge lies not just in training these models, but in utilizing them efficiently in everyday use cases. This is where machine learning inference becomes crucial, emerging as a primary concern for sci