DEEP LEARNING REASONING: THE CUTTING OF ADVANCEMENT ENABLING RAPID AND UNIVERSAL INTELLIGENT ALGORITHM SOLUTIONS

AI has advanced considerably in recent years, with algorithms achieving human-level performance in numerous tasks. However, the real challenge lies not just in developing these models, but in utilizing them efficiently in real-world applications. This is where machine learning inference comes into play, arising as a primary concern for researchers

AI has achieved significant progress in recent years, with models matching human capabilities in diverse tasks. However, the real challenge lies not just in developing these models, but in utilizing them optimally in everyday use cases. This is where inference in AI takes center stage, surfacing as a critical focus for researchers and tech leaders