Update README.md

README.md

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 ## Model Overview
 
-**Samanta-NewGenesis** is an advanced conversational AI model fine-tuned specifically for the Italian language. Built on a **2B parameter** foundation, this model is designed to engage in multi-turn dialogues with a strong emphasis on **emotional intelligence (EQ), philosophical reasoning, and psychological depth**.
+**Samanta-NewGenesis-Gemma2B-DPO** is an advanced conversational AI model fine-tuned specifically for the Italian language. Built on a **2B parameter** foundation, this model is designed to engage in multi-turn dialogues with a strong emphasis on **emotional intelligence (EQ), philosophical reasoning, and psychological depth**.
 
 This iteration improves upon its predecessor, **Samanta**, by integrating carefully curated datasets from song lyrics, movie scripts, and philosophical discussions. The goal is to **enhance the model’s ability to understand and respond with nuanced emotional and sentimental depth**.
 
 ## Training Process
 
-Samanta-NewGenesis has undergone a multi-stage training process to refine its reasoning and interaction capabilities:
+Samanta-NewGenesis-Gemma2B-DPO has undergone a multi-stage training process to refine its reasoning and interaction capabilities:
 
 1. **Supervised Fine-Tuning (SFT):**
    - The base model was fine-tuned using a crafted **Italian multi-turn dataset** focused on **philosophical, psychological, and emotional intelligence topics**.
@@ -61,5 +61,5 @@ This model is **not designed for factual accuracy** or for use in **high-stakes
 
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-**Samanta-NewGenesis** represents a leap forward in AI-driven emotional intelligence and companionship. While not flawless, it aims to provide rich, meaningful interactions in the Italian language, blending reasoning, sentiment, and depth into its conversational style.
+**Samanta-NewGenesis-Gemma2B-DPO** represents a leap forward in AI-driven emotional intelligence and companionship. While not flawless, it aims to provide rich, meaningful interactions in the Italian language, blending reasoning, sentiment, and depth into its conversational style.