Predicting through Computational Intelligence: A Transformative Period in Streamlined and Reachable Neural Network Architectures

AI has advanced considerably in recent years, with algorithms achieving human-level performance in diverse tasks. However, the true difficulty lies not just in creating these models, but in implementing them optimally in everyday use cases. This is where inference in AI comes into play, arising as a primary concern for scientists and innovators ali

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