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Quality-Diversity through AI Feedback (QDAIF) enhances creative text generation by integrating language models with the MAP-Elites algorithm. This novel approach introduces improvements in archive initialization, solution mutation, and solution evaluation, leveraging language models for qualitative diversity assessment. The non-uniform grid discretization accommodates nuanced changes, contributing to high-quality, diverse text generation in subjective domains.

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