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A team is training a language model to generate creative poetry. The primary goal is to produce poems that are emotionally resonant and artistically novel. For this specific task, a training approach that rewards the model for each correct grammatical step and adherence to a predefined poetic structure will always be more effective than an approach that rewards the model based on a human's holistic rating of the final poem.

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Updated 2025-10-07

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Ch.5 Inference - Foundations of Large Language Models

Foundations of Large Language Models

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