What are the best practices for intent classification in AI chatbots?
An example of an AI chatbot conversation about best practices for intent classification.
What are the best practices for intent classification in AI chatbots?
The best practices include using a diverse training dataset, employing feature engineering, and regularly updating your model.
Can you explain why a diverse training dataset is important?
A diverse training dataset helps the model understand various user intents and reduces bias, improving accuracy.
What role does feature engineering play in intent classification?
Feature engineering helps in selecting the most relevant data points, enhancing the model's ability to distinguish between intents.
How often should I update my intent classification model?
It's recommended to update your model regularly, especially as user behavior and language evolve over time.
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