NEURAL NETWORKS DEDUCTION: THE VANGUARD OF GROWTH DRIVING UBIQUITOUS AND AGILE COMPUTATIONAL INTELLIGENCE DEPLOYMENT

Machine learning has achieved significant progress in recent years, with algorithms matching human capabilities in various tasks. However, the true difficulty lies not just in training these models, but in deploying them efficiently in real-world applications. This is where machine learning inference takes center stage, arising as a critical focus

Artificial Intelligence has made remarkable strides in recent years, with systems surpassing human abilities in diverse tasks. However, the real challenge lies not just in creating these models, but in utilizing them optimally in practical scenarios. This is where inference in AI becomes crucial, emerging as a critical focus for researchers and inn