OpenAI significantly improves coding capabilities in low-resource languages like COBOL, with COBOL migration accuracy reaching up to 97.9%
OpenAI announced that its latest model, GPT-6 Astra, has significantly improved development and migration capabilities for low-data languages like COBOL and Fortran.
Key points
- •GPT-6 Astra achieved an average pass rate of 87.4% in an engine building evaluation across 20 languages.
- •The model recorded high accuracy in migration tests from COBOL to modern languages, reaching a maximum of 97.9%.
- •The primary announcement focuses on improved coding capabilities for languages with limited training data.