Part 9/13:
Testing on real GitHub issues showed that Tool Train significantly outperforms previous models, offering higher recall rates and faster, more accurate debugging capabilities—even in models with far fewer parameters. For example, a 7-billion parameter model achieved a recall at five of 62.38%, outperforming larger models that required over twice the size.
Significance
This breakthrough signals a future where AI might assist developers more effectively—locating bugs and understanding code structure rapidly, reducing debugging times, and improving software quality across the board.