AI has advanced considerably in recent years, with systems achieving human-level performance in various tasks. However, the main hurdle lies not just in training these models, but in implementing them effectively in practical scenarios. This is where inference in AI becomes crucial, arising as a key area for scientists and https://titusrrels.timeblog.net/63798149/processing-by-means-of-deep-learning-a-disruptive-generation-towards-universal-and-swift-computational-intelligence-frameworks