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The FAIK Files

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Exploring Biases in Large Language Models and Their Implications

This chapter explores the complexities and biases present in large language models, emphasizing how subtle differences in input can produce varied outputs. It calls for greater awareness and action to mitigate these biases, especially regarding their impact on decision-making influenced by factors such as dialect and appearance.

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