Inferencing through Predictive Models: A Innovative Cycle enabling Rapid and Universal Predictive Model Frameworks
Machine learning has made remarkable strides in recent years, with algorithms achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in utilizing them efficiently in everyday use cases. This is where machine learning inference becomes crucial, surfacing as a critical focus for ex