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Comparing Fine-Tuning Supervision Strategies
Imagine two teams are fine-tuning a language model to solve complex mathematical word problems. Team A's method only provides a positive reward if the model's final numerical answer is correct. Team B's method provides a positive reward for each valid logical step the model generates on its way to the final answer. Explain the fundamental difference in these two supervisory approaches and identify the two key technical components Team B would need to implement that Team A would not.
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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