LLM Prompt Engineering UX Design 
AWS Machine Learning Blog
MARCH 19, 2025
In many generative AI applications, a large language model (LLM) like Amazon Nova is used to respond to a user query based on the models own knowledge or context that it is provided. Instead of relying on prompt engineering, tool choice forces the model to adhere to the settings in place.
deepsense.ai
DECEMBER 11, 2024
The Truth Is Out There So, how to reduce hallucinations in LLMs? What are the techniques for minimizing LLM hallucinations? Design systems that support accurate LLM performance – use grounding to anchor outputs of a language model to a trusted source. Here are a few approaches.
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Topbots
SEPTEMBER 11, 2023
It aims to bring together the perspectives of product managers, UX designers, data scientists, engineers, and other team members. For example, if you are working on a virtual assistant, your UX designers will have to understand prompt engineering to create a natural user flow.
AWS Machine Learning Blog
SEPTEMBER 18, 2024
We employ task decomposition, using domain / task adopted LLMs for content personalization (UX designer/personalizer), image generation (artist), and building (builder/front end developer) for the final delivery of HTML, CSS, and JavaScript files. The first part moves to the frontend developer LLM.
Topbots
JUNE 29, 2023
The article is written for product managers, UX designers 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.
AWS Machine Learning Blog
FEBRUARY 3, 2025
Not only are large language models (LLMs) capable of answering a users question based on the transcript of the file, they are also capable of identifying the timestamp (or timestamps) of the transcript during which the answer was discussed. The file is sent to Amazon Transcribe and the resulting transcript is stored in Amazon S3.
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