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Design a Retrieval-Augmented Generation (RAG) system to help TikTok’s content moderation team detect and handle misinformation.
- Product Design
- Top-Interview
- Hard
- 15 min
Focus on the key components of a Retrieval-Augmented Generation (RAG) system and how they can be tailored to TikTok's specific needs for content moderation. Start by outlining the data sources that the system would retrieve information from, such as verified databases or fact-checking organizations. Then, detail how the generation component would synthesize this information to provide actionable insights for moderators. Consider user experience and how the interface would allow moderators to quickly assess and respond to flagged content. Finally, address potential challenges, such as ensuring the accuracy of retrieved information and maintaining a balance between speed and thoroughness in moderation.
What this question tests
- Product Design
- Structured problem solving
- Communication
- Trade-off reasoning
Practise this question under interview conditions. Answer it out loud against a timer with an AI interviewer that asks follow-ups, then review the scored report.
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