AI has advanced considerably in recent years, with models achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in implementing them optimally in real-world applications. This is where inference in AI takes center stage, emerging as a key area for experts https://llama-378002.eedblog.com/28065567/smart-systems-processing-the-forefront-of-growth-powering-ubiquitous-and-lean-ai-deployment