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Is your model fair?

You are a data scientist in a team at a leading tech company developing an LLM. You need to guide your team through various data-related considerations while building the model. During a team meeting, you quiz them on these considerations to assess their understanding of the project.

Which data consideration directly impacts the fairness and non-discriminatory nature of the LLMs' outputs?

This exercise is part of the course

Large Language Models (LLMs) Concepts

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