AI has achieved significant progress in recent years, with systems achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in implementing them efficiently in everyday use cases. This is where inference in AI takes center stage, arising as a primary concern https://emilianoscjqv.snack-blog.com/27920010/computing-with-neural-networks-a-revolutionary-stage-for-inclusive-and-rapid-computational-intelligence-systems