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It aims to bring together the perspectives of product managers, UXdesigners, data scientists, engineers, and other team members. For example, if you are working on a virtual assistant, your UXdesigners will have to understand promptengineering to create a natural user flow.
However, as of now, unleashing the full potential of organisational data is often a privilege of a handful of data scientists and analysts. Most employees don’t master the conventional datascience toolkit (SQL, Python, R etc.). All images are by the author. Enjoy this article? Sign up for more AI research updates.
By using a combination of transcript preprocessing, promptengineering, and structured LLM output, we enable the user experience shown in the following screenshot, which demonstrates the conversion of LLM-generated timestamp citations into clickable buttons (shown underlined in red) that navigate to the correct portion of the source video.
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