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Optimizing Model Responses through Consistency and Complexity
This chapter explores the enhancement of model outputs through the optimization of prompt templates across different APIs. It emphasizes the significance of consistency and complexity in training instructions and examines tools like classifiers and embeddings for assessing data quality.