CMU Researchers Introduce AdaTest++: Enhancing the Auditing of Large Language Models through Advanced Human-AI Collaboration Techniques

Auditing Large Language Models (LLMs) has become a paramount concern as these models are increasingly integrated into various applications. Ensuring their ethical, unbiased, and responsible behavior is essential. However, the traditional auditing process can be time-consuming, lacks systematicity, and may not uncover all potential issues. Researchers have introduced AdaTest++, an advanced auditing tool that revolutionizes […]

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