INTERPRETING VIA MACHINE LEARNING: THE FOREFRONT OF GROWTH ACCELERATING RESOURCE-CONSCIOUS AND ACCESSIBLE MACHINE LEARNING APPLICATION

Machine learning has made remarkable strides in recent years, with algorithms surpassing human abilities in diverse tasks. However, the real challenge lies not just in training these models, but in deploying them efficiently in practical scenarios. This is where machine learning inference takes center stage, surfacing as a key area for scientists a

Artificial Intelligence has achieved significant progress in recent years, with algorithms surpassing human abilities in diverse tasks. However, the real challenge lies not just in creating these models, but in utilizing them optimally in real-world applications. This is where machine learning inference takes center stage, arising as a key area for