Cleaner AI training data, fewer bugs: Sonar’s SonarSweep explained

Sonar has launched SonarSweep, a tool designed to clean AI training data and reduce software bugs by removing low-quality or erroneous code from datasets used to train large language models. The tool addresses a growing need as AI-generated code becomes more prevalent in daily software development, aiming to improve the reliability of both training data and the resulting code.

Large language models have moved quickly from novelty to daily infrastructure in software development. We are no longer using AI The post Cleaner AI training data, fewer bugs: Sonar’s SonarSweep explained appeared first on The New Stack.