PREDICTIVE MODELS REASONING: THE VANGUARD OF IMPROVEMENT REVOLUTIONIZING EFFICIENT AND ACCESSIBLE MACHINE LEARNING ARCHITECTURES

Artificial Intelligence has advanced considerably in recent years, with algorithms achieving human-level performance in diverse tasks. However, the true difficulty lies not just in creating these models, but in implementing them optimally in everyday use cases. This is where inference in AI comes into play, arising as a primary concern for research