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Best of Machine Learning
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In RPG video games, the practice of min-maxing is basically focusing on only one stat while ignoring everything else. Borrowing from this concept, I've developed a framework to optimize the accuracy for smaller LLMs for NLP tasks by imparting knowledge from a larger model to a smaller model through just prompting. The inspiration for this stems from how nuanced prompt labeling can be, especially when we need to account for limitations of smaller models in terms of following directions and understanding. The biggest roadblocks are:
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