This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
SAS' Julia Moreno shows you how to use generativeAI to build a digital assistant that interacts with a model using natural language conversation. The post LLM-based digital assistant for SAS Optimization appeared first on SAS Blogs.
I see a lot of claims that generativeAI is super-fantastic and will “change everything”; I also see claims that generativeAI is either useless or disastrous. It basically surveys how 292 journalists and other news professionals are using LLMs and the challenges they face. How effective are LLMs?
SAS' Federica Citterio answers the perennial data science question: "How can I trust (generative) LLM to provide a reliable, non-hallucinated result?" The post Five steps to improve information extraction using trustworthy generativeAI appeared first on SAS Blogs.
Recent case studies, however, reveal instances where AI-powered RPA bots demonstrate the ability to make subjective judgments, use interpretation skills, and handle multiple case exceptions. Optical Character Recognition (OCR) technology is a valuable companion for real-life RPA applications within the healthcare industry.
The post Three ways NLP can be used to identify LLM-related private data leakage and reduce risk appeared first on SAS Blogs. We often hear about cyberattacks, hackers, ransomware, and other nefarious deeds in the news, but not all data breaches are caused by third parties.
The Rise of Deepfakes and Automated Prompt Engineering: Navigating the Future of AI In this podcast recap with Dr. Julie Wall of the University of West London, we discuss two big topics in generativeAI: deepfakes and automated prompted engineering. How can big data analytics help?
Existing textanalytics tools work with NPS and CSAT survey feedback but are limited to extracting keywords and rudimentary sentiment detection. It is built on an in-house LLM (large language model) that is trained on your contact center data to be many times more efficient than Chat GPT. There is some hope, though!
We organize all of the trending information in your field so you don't have to. Join 15,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content