Update README.md

README.md

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 ## Model Details
 
-Socrates-embedding is a lightweight, high-density text embedding model. Unlike contemporary models that rely on massive parameter counts to brute-force semantic understanding, Socrates-embedding leverages **Low-Rank Decay (LoRD)** to achieve high-quality vector representations with minimal computational overhead.
+Socrates-embedding is a lightweight, high-density text embedding model. Unlike contemporary models that rely on massive parameter counts to brute-force semantic understanding, Socrates-embedding leverages Low-Rank Decay (LoRD) to achieve high-quality vector representations with minimal computational overhead.
 
-This model is part of the **Chunjiang Intelligence** edge-computing initiative, aiming to bring retrieval-augmented generation (RAG) and semantic search capabilities to consumer-grade hardware.
+This model is part of the Chunjiang Intelligence edge-computing initiative, aiming to bring retrieval-augmented generation (RAG) and semantic search capabilities to consumer-grade hardware.
 
 -   **Developed by:** Chunjiang Intelligence
--   **Model Type:** Dual-Encoder Transformer with Credal Attention Awareness.
+-   **Model Type:** Dual-Encoder Transformer.
 -   **Language:** English.
 
 ## Model Architecture