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Encouraging Model Reasoning and Thought Process
Encouraging a model to think out loud and reason through a problem before providing a direct response significantly improves the quality of the answer and overall result. This approach, where the model reasons through the problem like a human would, has become more prevalent among AI model providers as it enhances performance. Previous prompting techniques that prompt for direct answers may hinder performance for complex tasks, emphasizing the importance of letting the model articulate its thought process.