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Quality-Diversity through AI Feedback (QDAIF) revolutionizes creative text generation by combining language models with the MAP-Elites algorithm. The experiments cover diverse domains such as opinions, short stories, and poetry, showcasing QDAIF's superior performance over baseline methods. Human evaluations affirm the alignment between AI and human perspectives, marking a significant step in the evolution of AI-driven creative processes.

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