Problems in the Insurance Industry That GenAI Can Solve Efficient Information Retrieval and Document Classification A significant portion of insurance employees’ time is spent searching for and classifying information from a myriad of documents. This task is not only time-consuming but also prone to errors and inconsistencies. The ability to quickly retrieve accurate information and classify […]
Welcome to our new blog series, “Transforming Insurance with GenAI,” where we delve into the transformative power of generative artificial intelligence in the insurance industry. This series aims to provide a comprehensive understanding of the challenges faced by the insurance sector and how innovative AI solutions, specifically our InsurancGPT model (note: the name InsurancGPT might […]
Power of LVM and LLM Tired of drowning in documents? Traditional OCR throws you plain text, leaving the heavy lifting of comprehension and insight extraction to you. But in the age of AI, say goodbye to the mundane! Buckle up as we explore how Large Vocabulary Models (LVM) and Large Language Models (LLM) – two […]
InsureTech Connect 2023 Author Credits: This blog is a summary of “Four key themes from InsureTech Connect 2023” by Corey Bourbonais, Tanguy Catlin, Deniz Cultu, Doug McElhaney, and Grier Tumas Dienstag. Introduction: The InsureTech Connect (ITC) 2023 event in Las Vegas was a hub of innovation, gathering over 9,000 participants from the insurance technology spectrum. […]
Dive into our latest article, “5 Ways to Turn Your Dormant Data into Insightful Decisions in the Insurance Industry.” Discover how AI, ML, and NLP are reshaping risk assessment, fraud detection, and customer experiences. From transforming claims triage to preserving industry knowledge, our insights guide you on leveraging dormant data for informed decisions
Introduction to Large Language Models (LLMs) Large language models (LLMs) are a type of artificial intelligence (AI) designed to process and generate human-like text by analyzing vast amounts of data. These models are trained on diverse text sources such as books, articles, and websites, allowing them to understand and generate coherent, contextually relevant responses across […]
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