Large Language Models Prompt Engineering UX Design 
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. There are instructions for replacing the frontend in the README of the GitHub repository.
Topbots
SEPTEMBER 11, 2023
The model serves as a tool for the discussion, planning, and definition of AI products by cross-disciplinary AI and product teams, as well as for alignment with the business department. It aims to bring together the perspectives of product managers, UX designers, data scientists, engineers, and other team members.
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AWS Machine Learning Blog
SEPTEMBER 18, 2024
Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. The process employs techniques like RAG, prompt engineering with personas, and human-curated references to maintain output control.
Unite.AI
JULY 27, 2023
Effectual prompt engineering 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. Midjourney's inner workings are largely undisclosed.
Topbots
JUNE 29, 2023
In this article, we will consider the different implementation aspects of Text2SQL and focus on modern approaches with the use of Large Language Models (LLMs), which achieve the best performance as of now (cf. [2]; Replacing a SQL analyst with 26 recursive GPT prompts [2] Nitarshan Rajkumar et al.
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