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@ -43,7 +43,7 @@ The results were quite interesting:
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- Using the new function calling API performed worse than the above whole file method for all models. GPT-3.5 especially produced inferior code and frequently mangled this output format. This was surprising, as the functions API was introduced to enhance the reliability of structured outputs. The results from these `func` edit methods are shown as patterned bars in the graph (both green and blue).
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- As expected, the GPT-4 models outperformed the GPT-3.5 models in code editing.
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The quantitative benchmark results align with my developing intuition
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The quantitative benchmark results align with my intuitions
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about prompting GPT for complex tasks like coding. It's beneficial to
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minimize the "cognitive overhead" of formatting the response, allowing
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GPT to concentrate on the task at hand. As an analogy, asking a junior
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