Update README.md

README.md

@@ -9,7 +9,7 @@ Using this model, we can classify malicious prompts that can lead towards creati
 This model is obtained by finetuning a Pre-Trained RoBERTa using a dataset encompassing multiple sets of malicious prompts, as detailed in the corresponding arXiv paper. 
 Using this model, we can classify malicious prompts that can lead towards creation of phishing websites and phishing emails. -->
 
-Our model, "ScamLLM" is designed to identify malicious prompts that can be used to generate phishing websites and emails using popular commercial LLMs like ChatGPT, Bard and Claude.
+Our model, "ScamLLM" is designed to identify malicious prompts that can be used to generate phishing websites using popular commercial LLMs like ChatGPT, Bard and Claude.
 This model is obtained by finetuning a Pre-Trained RoBERTa using a dataset encompassing multiple sets of malicious prompts. 
 
 Try out "ScamLLM" using the Inference API. Our model classifies prompts with "Label 1" to signify the identification of a phishing attempt, while "Label 0" denotes a prompt that is considered safe and non-malicious.