Hello @Prashant Gokhale
Thanks for reaching out to us. I would recommend you share more details about how you did that, like how you trained your model, which model you used, what is your input and what is your output. To answer it as general -
It sounds like your Language service may not be properly trained to recognize the user's questions and provide accurate responses. Here are a few things you can try to resolve the issue:
- Check your knowledge base to ensure that it contains accurate and up-to-date information. Make sure that the questions and answers are properly formatted and that there are no typos or errors.
- Train your model with more examples of user questions and the corresponding answers. This will help the service to better understand the user's intent and provide more accurate responses.
- Check the confidence scores of the responses. If the confidence score is low, it may indicate that the service is not confident in its response. In this case, you may need to provide more training data or adjust the service's settings to improve its accuracy.
I hope these suggestions help you resolve the issue. Let me know if you have any other questions or concerns.
I hope it helps, please let me know if you need further assistance.
Regards,
Yutong
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