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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.
Just to explain what I mean by 3. These might prompt us to change the output or refrain from providing it altogether and return a fail-safe message. UXdesign that shifts the burden of facts Another way to manage hallucinations is to design a UX that shifts the burden to the user or makes it clear when theres a discrepancy.
We employ task decomposition, using domain / task adopted LLMs for content personalization (UXdesigner/personalizer), image generation (artist), and building (builder/front end developer) for the final delivery of HTML, CSS, and JavaScript files. The approach broadly mimics a human organization pursuing the same objective.
The article is written for product managers, UXdesigners and those data scientists and engineers who are at the beginning of their Text2SQL journey. For any reasonable business database, including the full information in the prompt will be extremely inefficient and most probably impossible due to prompt length limitations.
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