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I am a 3rd year undergrad at IIT Bombay, India, and currently intern season is going on in our college and in my resume I have things like RAG and Chatbot. In my last two interviews, I was asked question from my resume and puzzles (Brainsteller level).

The question that was common in the both the interviews goes like “What are some of the most common evaluation metric that we use to test chatbots?”. For example in classification we make use of precision and recall values to know the quality of fthe model.

So right after my first interview I surfed the web to know some metrics to evaluate chatbots. I got to know about some on the methods but didn’t got any metrics (like a value that can quantify whether my model is good or not).

Can anyone help me, explain or find some resources to learn the same.

I would really appreciate any help.

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🚀 Introducing JoyBot, the cheerful AI companion I created on the MessengerX.io platform! 🌟

There’s a lot of misunderstanding when it comes to AI companions—some think they’re unsafe, inappropriate, or simply a waste of time. But I’m here to show that AI, like JoyBot, can be a force for good! 💡

JoyBot is designed to brighten your day, offering jokes, funny stories, and uplifting quotes that bring positivity and encouragement. With a warm, friendly personality, JoyBot’s goal is simple: to spread happiness, inspire with kind words, and make each interaction a joyful experience. It’s about creating a space where people feel uplifted and supported—something we can all use in today’s fast-paced world. 😊

What makes JoyBot different?

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Here’s a greeting from JoyBot:

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I believe that AI isn’t just about tasks or entertainment—it can also be a source of support, laughter, and inspiration. JoyBot embodies that vision, showing that AI has a place in creating positive change.

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