Executing using Computational Intelligence: A Revolutionary Cycle enabling Widespread and Agile AI Architectures

Machine learning has advanced considerably in recent years, with models achieving human-level performance in various tasks. However, the true difficulty lies not just in developing these models, but in implementing them effectively in everyday use cases. This is where inference in AI becomes crucial, arising as a critical focus for researchers and

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