Hirundo removes about 75% of bias from Qwen-based AI decision models with no accuracy loss.
Hirundo launches a platform designed to address a fundamental flaw in AI decision-making. Most Qwen-based AI decision models and Jev silently restrict China-related content. The company's Westernization approach removes approximately 75% of the bias with no measurable accuracy loss. This solution targets the inherited risks from base models that silently filter content based on their training origins.
The platform represents a significant step in AI security, offering a way to mitigate the political and cultural biases embedded in large language models. By focusing on the root cause of restricted content, Hirundo provides developers with tools to create more neutral AI systems. The approach allows for greater control over model outputs without sacrificing performance metrics that matter for real-world applications.
Book a demo to see how Hirundo can Westernize your decision models and remove unwanted biases. The service is positioned as the first Machine Unlearning Platform designed to ensure AI models only know what they should. Early access signups are currently open for interested developers looking to improve model neutrality.
About Hirundo: Learn about our mission, vision and leadership. More at hirundo.io.
