Update README.md

README.md

@@ -30,7 +30,7 @@ The model is optimized to generate **empathetic, supportive, and professionally
 
 ### Model Description
 
-- **Author:** Ederson Corbari (NeuroQuest.ai)
+- **Author:** Ederson Corbari (e@NeuroQuest.ai)
 - **Date:** February 01, 2026
 - **Model type:** Causal Language Model (LLM)
 - **Language(s):** English
@@ -82,4 +82,23 @@ pipe = pipeline(
 prompt = "I feel anxious and overwhelmed lately. What should I do?"
 result = pipe(prompt, max_new_tokens=200)
 
-print(result[0]["generated_text"])
+print(result[0]["generated_text"])
+```
+
+---
+
+## Bias, Risks, and Limitations
+
+Safety Disclaimer: The model may generate inaccurate information. Empathy in text generation does not imply clinical safety or medical correctness.
+
+Data Bias: Responses may reflect biases inherent in the `jkhedri/psychology-dataset`.
+
+Human Oversight: Users should apply human judgment, especially in sensitive conversational settings.
+
+---
+
+## Training and Merge Process
+
+The workflow involved loading the `google/gemma-2b-it` model in float16 precision, attaching the LoRA adapters trained on 
+preference-based psychological data, and merging the weights into a single model for downstream use. This ensures compatibility with 
+environments that do not support PEFT or require lower latency for inference.