Update README.md

README.md

@@ -1,9 +1,9 @@
 ---
 license: mit
 ---
--### 🧠 Technical Notes
+### 🧠 Technical Notes
 
-- **🗂 Memory Storage**  
+ **🗂 Memory Storage**  
   For persistent and emotionally coherent conversations, local memory handling is essential. Depending on the application, developers can implement memory using:
   - Lightweight solutions like **JSON** or **YAML logs** (great for prototyping)
   - Embedded databases like **SQLite** (low overhead, suitable for desktop apps)
@@ -11,13 +11,13 @@ license: mit
 
   A proper memory layer allows bots to reference prior chats, adapt to evolving relationships, and avoid “resetting” between sessions — a core feature for emotional immersion.
 
-- **🔀 Model Flexibility**  
+ **🔀 Model Flexibility**  
   Platforms like **CrushOn.ai** allow users to switch between models such as **GPT‑4o**, **Claude**, and **Mistral** based on tone, speed, and behavior. Developers can simulate this locally by:
   - Routing prompts through APIs like **OpenRouter**, **vLLM**, or **Ollama**
   - Allowing model selection per character or session
   - Dynamically adjusting temperature, top_p, and max_tokens for stylistic nuance
 
-- **🎭 Character Definition**  
+ **🎭 Character Definition**  
   Emotional realism depends on high-quality character conditioning. This includes:
   - **Prompt-based backstories** and embedded lore
   - **Behavioral traits or tags** (e.g., clingy, stoic, flirty, jealous)