ANALYZING BY MEANS OF DEEP LEARNING: THE VANGUARD OF IMPROVEMENT FOR STREAMLINED AND ATTAINABLE NEURAL NETWORK PLATFORMS

Machine learning has made remarkable strides in recent years, with models achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in implementing them optimally in everyday use cases. This is where AI inference becomes crucial, surfacing as a critical focus for scientists and inno