Towards Building Trustworthy and Safe Large Scale Models

The research focuses on developing a framework for AI that is Helpful, Honest, and Harmless. It involves extensive work with diverse data sources, including textual and audio data from various platforms. Key areas of study include model-based RESTful API testing, automatic speech recognition system testing for stutterers, and addressing vulnerabilities in Large Language Models (LLMs).