Uncovering bias in GPT-2 LLMs such as GPT-2 have revolutionized natural language processing (NLP) by producing high-quality, human-like text. While these models can be valuable tools, they are not without their challenges. One significant concern is the potential for bias in their outputs, which can result from biases in the training data. To understand this […]