OpenAI model improves legacy language conversion accuracy
OpenAI reported that its new model achieved an average pass rate of 87.4% on tests involving legacy programming languages like COBOL and Fortran, up from 26.8% for previous models. This indicates significant improvement over the predecessor in complex code migration tasks with scarce training resources, particularly in building multi-language database engines.
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