Machine learning has achieved significant progress in recent years, with models achieving human-level performance in various tasks. However, the main hurdle lies not just in creating these models, but in utilizing them efficiently in everyday use cases. This is where machine learning inference takes center stage, surfacing as a primary concern for
Computational Intelligence Execution: The Approaching Paradigm transforming Available and Optimized Deep Learning Integration
Machine learning has achieved significant progress in recent years, with algorithms matching human capabilities in numerous tasks. However, the main hurdle lies not just in creating these models, but in utilizing them optimally in real-world applications. This is where inference in AI becomes crucial, arising as a critical focus for researchers and