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Related Questions
- How can biased user-generated content impact the fairness and accuracy of LLMs?
- What are some common pitfalls of using user-generated content for training LLMs, such as data quality issues or homophily?
- How can data curation and filtering be used to mitigate the limitations of user-generated content for LLM training?
- Can you explain the concept of 'filter bubbles' and how they can affect LLMs trained on user-generated content?
- What are some strategies for addressing the issue of 'echo chambers' in user-generated content and their impact on LLMs?
- How can the lack of diversity in user-generated content impact the generalizability of LLMs?
- What are some potential consequences of over-reliance on user-generated content for LLM training, such as the spread of misinformation?
- Can you discuss the importance of data augmentation techniques in mitigating the limitations of user-generated content for LLM training?
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