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Instead of relying on promptengineering, tool choice forces the model to adhere to the settings in place. Instead of relying on promptengineering, tool choice forces the model to adhere to the settings in place. Lulu Wong is an AI UXdesigner on the Amazon Artificial General Intelligence (AGI) team.
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.
These might prompt us to change the output or refrain from providing it altogether and return a fail-safe message. Promptengineering and CoT (Chain-of-thought) Prompting techniques can improve the model’s faithfulness, e.g., by setting constraints and guidelines, limiting it to specific sources, or providing step-by-step reasoning.
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.
Effectual promptengineering goes beyond mere creation; it encompasses best practices. Prompts should offer clarity, and be succinct, yet provide the AI with enough guidance without excessive prescription. The post Mastering AI Art: A Concise Guide to Midjourney and PromptEngineering appeared first on Unite.AI.
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.
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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