Update README.md

README.md

@@ -24,12 +24,11 @@ base_model:
 - CiscoAITeam/SecureBERT2.0-base
 ---
 
-# SecureBERT 2.0 Document Embedding and Similarity Search Model (bi-encoder)
+# SecureBERT 2.0 for Document Embedding and Similarity Search Model (bi-encoder)
 
-This is a Bi-Encoder model fine-tuned on top of [**SecureBERT 2.0**](CiscoAITeam/SecureBERT2.0-code-vuln-detection), a cybersecurity domain-specific Model. It computes similarity scores for pairs of texts, which can be used for text ranking, semantic search, documnet embedding or other cybersecurity-related natural language tasks.
+This is a **Bi-Encoder** model fine-tuned on top of [**SecureBERT 2.0**](CiscoAITeam/SecureBERT2.0-code-vuln-detection), a cybersecurity domain-specific Model. It computes similarity scores for pairs of texts, which can be used for text ranking, semantic search, documnet embedding or other cybersecurity-related natural language tasks.
 
 
-# SecureBERT 2.0 Bi-Encoder for Cybersecurity
 
 Document embeddings are central to modern cybersecurity pipelines, enabling efficient use of large and complex text corpora. They power applications such as **Retrieval-Augmented Generation (RAG)**, semantic search, ranking, and threat intelligence retrieval.