What are common reasons for AI chatbot failures?
Common reasons include poor training data, lack of context understanding, and failure to handle unexpected inputs.
Can you give examples of poor training data?
Sure! Examples include biased data, outdated information, or data that doesn't represent the target audience.
How can we improve chatbot training?
Improving training can involve using diverse datasets, continuous learning, and regular updates based on user interactions.
What role does user feedback play in chatbot improvement?
User feedback is crucial; it helps identify issues, understand user needs, and refine responses for better engagement.
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