Update README.md

README.md

@@ -40,17 +40,11 @@ Introducing **HallOumi-8B-classifier**, a _fast_ **SOTA hallucination detection
 
 Demo GIF: TODO
 
-**HallOumi**, the hallucination detection model built with Oumi, is a system built specifically to enable per-sentence verification of any content (either AI or human-generated) with **sentence-level citations** and **human-readable explanations.** 
-For example, when given one or more context documents, as well as an AI-generated summary, HallOumi goes through every claim being made in the summary and identifies:
-* The **relevant context sentences** associated with that claim.
-* A determination whether that particular statement is **supported or unsupported** by the provided context.
-* An **explanation** describing why a particular claim is supported or unsupported.
-
-**HallOumi-8B-classifier**, the hallucination classification model built with Oumi, is an end-to-end classification system that enables *fast and accurate* assessment of the hallucination probability of any written content (AI or human-generated).
-* ✔️ Fast
+
+**HallOumi-8B-classifier**, the hallucination classification model built with Oumi, is an end-to-end binary classification system that enables *fast and accurate* assessment of the hallucination probability of any written content (AI or human-generated).
+* ✔️ Fast with high accuracy
 * ✔️ Per-claim support (must call once per claim)
-* ❌ No Explanations
-* ❌ No Citations
+
 
 ## Hallucinations
 Hallucinations are often cited as the most important issue with being able to deploy generative models in numerous commercial and personal applications, and for good reason: