Update README.md

README.md

@@ -39,7 +39,8 @@ This variant features a **32,768 token context window**, optimized for processin
 - **Code Generation:** Writing and debugging algorithms.
 - **Structured Data Extraction:** Parsing and reasoning over unstructured text.
 
-> **Note:** This is a base reasoning model. For conversational chat, we recommend using a specific instruct template or fine-tuning on your domain data.
+> **Note:** This model is post-trained for reasoning and agentic reliability.  
+> For conversational chat, additional instruction tuning is recommended.
 
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@@ -68,9 +69,9 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
 ## 🏗️ Technical Summary
 
-The model was produced using a **multi-stage optimization process** involving large-scale supervision and iterative refinement. It is designed to maximize reasoning quality while maintaining instruction robustness.
+The model has undergone **post-training** to enhance reasoning quality, stability, and agentic reliability.
 
-*Specific training methodologies and dataset compositions are proprietary.*
+*Detailed post-training recipes and dataset compositions are not fully disclosed.*
 
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