Executing with Cognitive Computing: A Transformative Period powering Agile and Ubiquitous Predictive Model Models
Machine learning has achieved significant progress in recent years, with models achieving human-level performance in numerous tasks. However, the true difficulty lies not just in creating these models, but in deploying them effectively in practical scenarios. This is where inference in AI takes center stage, emerging as a key area for scientists an