How do you evaluate the performance of an AI chatbot?
Evaluating an AI chatbot's performance involves metrics like accuracy, response time, user satisfaction, and engagement.
What specific metrics should I focus on?
Key metrics include intent recognition accuracy, average response time, user retention rates, and feedback scores.
How can I improve these metrics?
You can improve metrics by training the model with diverse data, optimizing response algorithms, and regularly updating the knowledge base.
Is user feedback important in this process?
Absolutely! User feedback is crucial for identifying areas of improvement and ensuring the chatbot meets user needs.
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