COMPUTATIONAL INTELLIGENCE PREDICTION: THE CUTTING OF ADVANCEMENT ENABLING WIDESPREAD AND AGILE PREDICTIVE MODEL DEPLOYMENT

Artificial Intelligence has advanced considerably 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 deploying them effectively in real-world applications. This is where inference in AI becomes crucial, emerging as a critical focus for experts