What are effective evaluation methods for AI-generated content in customer service applications

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Can you name effective evaluation methods for ai generated content in customer service applications?
Nov 18 in Generative AI by Ashutosh
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1 answer to this question.

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You can effectively evaluate methods for AI-generated content in customer service applications by referring to the following:

  • Semantic Similarity Analysis: You can measure how closely AI responses match expected responses using cosine similarity.
  • BLEU or ROUGE Scores: You can evaluate the overlap between AI responses and reference responses.
  • Sentiment Analysis: You can check if the tone of AI responses aligns with customer service expectations.
  • Human Evaluation: You can use Likert scales (1-5) to measure user satisfaction, relevance, and fluency.

In the above code reference, Combining automated metrics (e.g., similarity, BLEU) with human evaluation provides a comprehensive assessment of AI-generated content.

Hence, by using these methods, you can effectively evaluate methods for AI-generated content in customer service applications.

answered Nov 18 by awanish

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