Responding to questions that demand data analysis / science!

Shivam Dutt Sharma
I am Prajna
Published in
Apr 10, 2024

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Conversational AI, or chatbots / virtual assistants powered by artificial intelligence, like Prajna, would require integrations with datasets that may be public or protected, followed by quantitative analysis using Python, R, etc. to provide data analysis led insights. The advantage of a Conversational AI is that it can be added as a layer over any Generative AI model, however, one disadvantage with the latter being utilized in isolation (for eg. ChatGPT in its freemium / public version) being that it doesn’t provide insights on questions that demand data analysis on the statistical / quantitative information or records that may be protected or hosted / available on a particular website.

On posing this question to ChatGPT and Prajna, separately, here are the responses observed :-

ChatGPT

Prajna

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Shivam Dutt Sharma
I am Prajna

Data Science . Product Engineering . Tennis . Running