Update README.md

README.md

@@ -309,7 +309,7 @@ Evaluated using the CantTalkAboutThis Dataset as introduced in the CantTalkAbout
 
 ### Adversarial Testing and Red Teaming Efforts 
 
-The Nemotron-4 340B-Instruct model underwent extensive safety evaluation including adversarial testing via three distinct methods: 
+The Nemotron-4 340B-Instruct model underwent safety evaluation including adversarial testing via three distinct methods: 
 - [Garak](https://docs.garak.ai/garak), is an automated LLM vulnerability scanner that probes for common weaknesses, including prompt injection and data leakage. 
 - AEGIS, is a content safety evaluation dataset and LLM based content safety classifier model, that adheres to a broad taxonomy of 13 categories of critical risks in human-LLM interactions.
 - Human Content Red Teaming leveraging human interaction and evaluation of the models' responses.