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
Hands-on interactive exercise
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