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LLM-based digital assistant for SAS Optimization

SAS Software

The post LLM-based digital assistant for SAS Optimization appeared first on SAS Blogs. SAS' Julia Moreno shows you how to use generative AI to build a digital assistant that interacts with a model using natural language conversation.

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Real-world usage of LLMs in Journalism

Ehud Reiter

Instead the focus was on what the above-mentioned report called Information Gathering and Sensemaking (eg, using text analytics to analyse stuff) and Business Uses (eg, finding potential advertisers). They are good at generating texts, but their biggest impact may come from novel applications.

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Three ways NLP can be used to identify LLM-related private data leakage and reduce risk

SAS Software

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.

NLP 52
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Using AI-Mechanized Hyperautomation for Organizational Decision Making

Unite.AI

Integration of Generative AI and Large Language Models (LLM) with RPA enhances virtual agents’ cognitive abilities, allowing human-like interactions and personalized feedback by learning customer preferences. Optical Character Recognition (OCR) technology is a valuable companion for real-life RPA applications within the healthcare industry.

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Five steps to improve information extraction using trustworthy generative AI

SAS Software

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 generative AI appeared first on SAS Blogs.

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Contextual SDG Research Identification: An AI Evaluation Agent Methodology

Marktechpost

This method utilizes LLM specifically designed to distinguish between abstracts that demonstrate genuine contributions to SDG targets and those with merely surface-level mentions of SDG-related terms. The research methodology involves a detailed data retrieval and preprocessing approach using Scopus as the primary source.

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The future of customer experience management with Level AI’s Generative AI-powered Voice of the Customer Insights

LevelAI

Existing text analytics 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.