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- **Here is what a chatbot told me when I asked it the following question**: How can the quality of…
**Here is what a chatbot told me when I asked it the following question**: How can the quality of…
1. Human editors could review the generated content for relevance, coherence, and factual accuracy.
1. Human editors could review the generated content for relevance, coherence, and factual accuracy.
2. A/B testing could be used to gauge audience response to AI-generated versus human-generated content.
3. Natural Language Understanding (NLU) metrics could be developed to assess the quality of the generated content automatically.
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