AWS Machine Learning Blog

FEBRUARY 3, 2025

By using a combination of transcript preprocessing, prompt engineering, 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.

UX Design 109

UX Design Auto-complete LLM Prompt Engineering 109

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.

UX Design 59

UX Design AI AI Automation 59

deepsense.ai

DECEMBER 11, 2024

These might prompt us to change the output or refrain from providing it altogether and return a fail-safe message. Since AI models are probabilistic in nature having proper guardrails is a good idea in general, regardless of our stance on hallucinations. This may follow a predefined rule (e.g.,

LLM 52

LLM UX Design ChatGPT Software Engineer 52

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 personalized content is built using generative AI by following human guidance and provided sources of truth.

Generative AI 126

Generative AI LLM AI AI 126

Unite.AI

JULY 27, 2023

While each of these innovations brought its distinct touch to the canvas of Generative AI, Midjourney, in particular, has continued its compelling journey, making noteworthy strides. The art world is certainly taking notice, with generative AI in the art market projected to witness a staggering growth of 40.5%

Prompt Engineer 246

Prompt Engineer Prompt Engineering AI AI 246

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.

Algorithm 52

Algorithm Auto-complete Data Scientist Auto-classification 52