PREDICTING THROUGH AUTOMATED REASONING: A PIONEERING GENERATION DRIVING LEAN AND UBIQUITOUS PREDICTIVE MODEL MODELS

Machine learning has advanced considerably 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 implementing them efficiently in practical scenarios. This is where inference in AI takes center stage, arising as a primary concern for researche

Machine learning has achieved significant progress 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