Accuracy and Relevancy for AI chatbot
Chris Max
10 replies
Hey folks. Glad to join the discussion. I am Chris, currently running enbotAI (www.enbot.ai) which provides customizable AI Assistant solutions to business websites.
Accuracy and Relevancy are always key to customer satisfaction during customer service therefore we've spent quite a lot of effort orchestrating the dialogue flow process to make sure various queries are directed to the right path and only the accurate answers get retrieved and generated.
Comments all welcome and much appreciated!
Replies
xavi@aigenie
This is actually a bit tricky to generalize it. But doing tests with various scenarios and adjusting and adapting helps.
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The accuracy and relevancy of AI chatbots really depends on the underlying language model and training data. I've found Claude to be quite good for powering chatbots, as it provides relevant and appropriately detailed responses. And tools like Jasper.ai make it easy to build chatbots without coding. But you'll want to test a few options with your specific use case to see what works best. Happy to share more specifics if you have other questions!
Hi Chris, where can I check your products?
@kavyaaatripathi Thanks for asking. It is www.enbot.ai
A chatbot needs to understand user intent to be effective. Accuracy alone isn’t enough if it misses the user’s context.
@james_ffrank We want to make contextual relevancy first to set foundations for accuracy
I find that regular updates and feedback loops are essential for maintaining both accuracy and relevancy. Continuous learning from real interactions helps improve the chatbot’s performance over time.
Ensuring accuracy in responses is crucial for building trust. I always focus on refining the training data and constantly updating the model to enhance both accuracy and relevancy.
Relevancy can sometimes be as important as accuracy. It’s about not just providing the right answer but also understanding the context of the question to make responses truly helpful.