From 247ba97a3ab465081cd896319412dc9763b7acd0 Mon Sep 17 00:00:00 2001 From: Steven Jannette Date: Thu, 27 Aug 2026 16:39:59 +0000 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 50f882e..73c0748 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,7 @@ Image one: source-grounded research assistant for applied use of LLMs. -**Source Sentinel's value proposition: analyzing and conveniently working with large data corpora, when query-result accuracy is of the highest value. Examples include technical medical data exploration (reviewing health records, test results, or studies to find hidden patterns, trends, and answers), complex litigation (i.e. Patent/IP), advanced LLM development and refinement.** +**Source Sentinel's leverages multiple Large Language Models for analyzing and conveniently working with large data corpora, when query-result accuracy is of the highest value. Examples include complex litigation (i.e. Patent/IP), technical medical data exploration (reviewing health records, test results, or studies to find hidden patterns, trends, and answers), advanced LLM development and refinement.** Source Sentinel empowers users to transform an otherwise-unmanageably-large corpus of data on any topic of interest into refined, easily-digested subtopics and pose focused inquiries, to instantly receive concise, quantifiably-evaluated, accurate responses. The system also provides suggested follow-up questions further refining in user inquiries by detecting the query goals.