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Artificial Intelligence has achieved significant progress in recent years, with systems matching human capabilities in various tasks. However, the main hurdle lies not just in developing these models, but in deploying them optimally in real-world applications. This is where AI inference becomes crucial, emerging as a primary concern for scientists
AI has advanced considerably in recent years, with algorithms achieving human-level performance in diverse tasks. However, the real challenge lies not just in creating these models, but in implementing them efficiently in real-world applications. This is where inference in AI comes into play, surfacing as a key area for researchers and innovators a