Training and grounding are foundational approaches in developing large language models (LLMs), shaping how AI systems learn, access, and use knowledge. This article breaks down their key differences to guide smarter, more strategic AI implementation.
Read about our new platform evolution Sweepr LLM Fabric — A structured AI framework designed to ground LLMs in proven telco workflows—ensuring accurate, scalable, and efficient automation of CSP’s Digital Customer Support function.
Watch this fascinating webinar where Cody Sandford and Jim Hannon discuss how Telcos can maximize hyperscaler partnerships, and how Sweepr's care LLM accelerates the ROI of digital care strategies.
Read the press release about this exciting development at Sweepr, with a statement from CEO and Co-Founder, Alan Coleman.
This blog explores what RCS is and how it greatly improves UX, including an exclusive demo showing Sweepr's ability to build multimedia-rich experiences.
In this blog, Stephane Muszynski explains how Sweepr can accelerate the business impact of telecoms operators’ investment in Google CCAI and DialogFlow.
In this 45 minute deep-dive, learn how AI technology can streamline operations, enhance customer experiences, and propel your business forward in the digital era.
This insightful blog post explores how Sweepr empowers your customers to digitally self-serve by utilizing clear and concise visual prompts.
The integration of LLMs presents a revolutionary opportunity for ISPs to address the complexities of customer expectations. Here’s Sweepr’s view on how to best help customers address their care challenges with relevant, responsible and personalized content
Stephane Muszynski addresses how to solve reoccuring challenges when using AI for digital care.