An AI model is being trained to generate step-by-step reasoning. The training process provides a reward for each complete reasoning path, calculated by summing the log-probabilities of each individual step being deemed 'correct'. A higher (i.e., less negative) total reward is better. Consider the following four reasoning paths generated by the model, along with the log-probability of correctness for each step. Which path will be most strongly reinforced during the training process?
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
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An AI model is being trained to generate step-by-step reasoning. The training process provides a reward for each complete reasoning path, calculated by summing the log-probabilities of each individual step being deemed 'correct'. A higher (i.e., less negative) total reward is better. Consider the following four reasoning paths generated by the model, along with the log-probability of correctness for each step. Which path will be most strongly reinforced during the training process?
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