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Since the AI community developments in creating human-like algorithms, it is critical to know their implications for scalable and economical AI programs. While AI excels at small-scale details jobs, controlling significant-scale, dynamically expanding datasets offers new worries. Addressing these involves collaboration between academia and market,
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