I am currently testing the Xavier NX for questions and answers using the jetson-voice container:
But it takes a good amount of time to return an answer if the given text is long.
I know the question might seem naive but as a trial; anyone can briefly give me the possible roadmap to allow the jetson-voice demo to learn something permanently.
i.e. currently what I feel the demo does is that it analyzes the given paragraphs each time it is given a new question to search for the suitable answer. If the given text is huge for example, it takes a long time to analyze the whole text and returns an answer.
What I hope is to amend the behavior so that it makes the analysis one time and then reply to the questions faster, maybe, by storing the analysis result to like a library of Q&As categorized per subject to enhance the reply time,
Any thoughts on this would be appreciated.