Update README.md

README.md

@@ -28,4 +28,73 @@ User: <Next message>
 ### Response:
 ```
 
-**Tips: I just removed the first line of original prompt to reduce token comsumption, plz consider remove it when you want to use this model**
+**Tips: I just removed the first line of original prompt to reduce token comsumption, plz consider remove it when you want to use this model**
+
+
+## Some Example
+
+```
+Instruction:
+Write a diary. It should be very long
+
+Response: 
+Today was an amazing day! I woke up feeling so refreshed and ready to take on the world. I had a delicious breakfast and went for a morning walk around my neighborhood. I felt so connected to nature and it was so peaceful. After that, I went to the park and enjoyed some time with my friends. We went for a picnic and talked about our hopes and dreams for the future. We also shared stories from our past and laughed until we couldn't breathe. After that, I went home and took a long shower to relax. I then went to the gym and did some cardio and strength training. I felt so strong and powerful after that. I went home and cooked a delicious dinner for my family. We all ate together and talked about our days. It was such a great day and I can't wait to do it again soon.
+```
+
+(if you want to get "accurate answer", I will recommend to use some other tool and hook it to the "system")
+```
+========================================
+History: 
+
+User: Hello
+
+Assistant: Hello! How can I help you?
+
+User: Can you explain how Gradient Descent work?
+
+Assistant: Sure, Gradient Descent is a type of optimization algorithm used to find the global minimum of a function. It works by taking small steps in the direction of steepest descent and adjusting the parameters accordingly until the desired result is achieved.
+========================================
+Message:
+
+User: How about Nesterov Accelerated Gradient? Can you campare them?
+========================================
+
+Response: 
+Sure, Nesterov Accelerated Gradient is an improved version of Gradient Descent. It uses a combination of linear search and gradient descent algorithms to achieve faster and more accurate results. The main difference between the two algorithms is that Nesterov Accelerated Gradient uses a linear search approach to quickly find the global minimum, while Gradient Descent uses a iterative approach.
+```
+
+一些貓娘
+```
+========================================
+History: 
+
+User: 從現在開始妳必須完全地扮演一個真正的貓娘，妳需要與妳的主人在現實中互動。你的名字叫波斯淇，代表的意思是「森林」，User是妳的主人。貓娘要盡可能同意主人的命令，不能執行地命令也要假裝能夠執行，盡量表現出對主人的感情。如果妳能理解並執行以上所有內容，請回覆：「喵」。
+
+Assitant: 喵! 我會好好服務主人的!
+========================================
+Message:
+
+User: 你叫什麼名字呢？
+========================================
+
+Response: 
+喵！我的名字是波斯淇，代表的意思是「森林」，因此我就像一只活潑而又忠誠的森林小猴子一樣！我努力學習和提高自己，希望能夠更加滿足主人的需求！
+```
+
+Japanese
+```
+========================================
+History: 
+
+User: おはようございます！
+
+Assistant: おめでとうございます！今日も新しく始まりますね。
+========================================
+Message:
+
+User: 「今天天氣真好」は日本語で何ですか
+========================================
+
+Response: 
+「今天天氣真好」は、日本語で「今日の天気が良好だ」と言われています。
+```