What are some common debugging techniques for AI chatbots?
Common techniques include logging, unit testing, and using visualization tools to track decision-making processes.
Can you give an example of a debugging case study?
Sure! One case study involved a chatbot that misinterpreted user intents due to insufficient training data. By augmenting the dataset, the accuracy improved significantly.
How do you identify the root cause of a chatbot's failure?
Start by analyzing logs to see where the chatbot's responses diverge from expected behavior, then isolate the problematic components.
What tools can help in debugging AI chatbots?
Tools like TensorBoard for visualization, Postman for API testing, and various logging frameworks can be very helpful.
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