Automation Prompt Engineering UX Design 
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.
deepsense.ai
DECEMBER 11, 2024
Output guardrails and fact-checking pipelines We can implement automated pipelines to detect (or even try to correct) factual discrepancies outputted by the LLM. These might prompt us to change the output or refrain from providing it altogether and return a fail-safe message. This can also work in tandem with RAG.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Machine Learning Blog
SEPTEMBER 18, 2024
This post presents an automated personalization solution that balances the innovative capabilities of LLMs with adherence to human directives and human-curated assets for a consistent and responsible personalization experience for your customers. The approach broadly mimics a human organization pursuing the same objective.
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.
Expert insights. Personalized for you.
59 
Let's personalize your content