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@ -70,7 +70,7 @@ The goal is to read the instructions, implement the provided functions/class ske
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and pass all the unit tests. The benchmark measures what percentage of
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and pass all the unit tests. The benchmark measures what percentage of
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the 133 exercises are completed successfully, with all the associated unit tests passing.
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the 133 exercises are completed successfully, with all the associated unit tests passing.
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To run the test, aider sends GPT the Exercism instructions followed by:
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To complete an exercise, aider sends GPT the Exercism instructions followed by:
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```
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```
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Use the above instructions to modify the supplied files: {file_list}
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Use the above instructions to modify the supplied files: {file_list}
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@ -90,7 +90,7 @@ Fix the code in {file_list} to resolve the errors.
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GPT gets this second chance to fix the implementation because
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GPT gets this second chance to fix the implementation because
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many of the unit tests check for specifics that are not
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many of the unit tests check for specifics that are not
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clearly called out in the instructions.
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called out in the instructions.
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For example, many tests want to see
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For example, many tests want to see
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[specific phrases in ValueErrors](https://github.com/exercism/python/blob/f6caa44faa8fb7d0de9a54ddb5c6183e027429c6/exercises/practice/queen-attack/queen_attack_test.py#L31)
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[specific phrases in ValueErrors](https://github.com/exercism/python/blob/f6caa44faa8fb7d0de9a54ddb5c6183e027429c6/exercises/practice/queen-attack/queen_attack_test.py#L31)
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raised by
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raised by
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@ -190,7 +190,7 @@ format requests original/updated edits to be returned using the function call AP
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}
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}
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```
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```
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## ChatGPT function calls
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## GPT-3.5 hallucinates function calls?
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GPT-3.5 was very prone to ignoring the JSON Schema that specified valid functions,
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GPT-3.5 was very prone to ignoring the JSON Schema that specified valid functions,
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and would often return a completely invalid `function_call` fragment with `name="python"`.
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and would often return a completely invalid `function_call` fragment with `name="python"`.
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