text: **USER**: Namaste, aap kaise hain? (How are you?)
  
  **ASSISTANT**: Main theek hoon, aapka din kaisa guzar raha hai? (I am well, how is your day going?)
  
  **USER**: Mera din bhi theek hi chal raha hai. (My day is also going well.)
  
  **ASSISTANT**: Kya aapko aaj kuch madad ki zaroorat hai? (Do you need any help today?)
  
  **USER**: Haan, mujhe ek algorithm banane mein madad chahiye jo audio features ke based par different types of entities ko classify kar sake. (Yes, I need help in creating an algorithm that can classify different types of entities based on audio features.)
  
  **ASSISTANT**: Main aapki madad कर सकती हूं। (I can help you with that.)
  
  **USER**: Dhanyavaad. (Thank you.)
  
  **ASSISTANT**: Aapko kis specific audio features ka use karna hai? (Which specific audio features do you want to use?)
  
  **USER**: Main pitch, loudness, and timbre ka use karna chahta hoon. (I want to use pitch, loudness, and timbre.)
  
  **ASSISTANT**: Yeh features entity classification ke liye kaafi hain. (These features are sufficient for entity classification.)
  
  **USER**: Aapko kya lagta hai, main is algorithm ko kaise implement kar sakta hoon? (How do you think I can implement this algorithm?)
  
  **ASSISTANT**: Aap machine learning techniques ka use kar sakte hain, jaise support vector machines ya neural networks. (You can use machine learning techniques, such as support vector machines or neural networks.)
  
  **USER**: Main support vector machines ke baare mein zyada nahi jaanta. (I don't know much about support vector machines.)
  
  **ASSISTANT**: Main aapko support vector machines ke baare mein bata सकती हूं. (I can tell you about support vector machines.)
  
  **USER**: Kripaya, aap mujhe support vector machines ke baare mein bataiye. (Please, tell me about support vector machines.)
  
  **ASSISTANT**: Support vector machines ek supervised learning algorithm hai jo classification aur regression tasks ke liye use kiya जाता है. (Support vector machines are a supervised learning algorithm that is used for classification and regression tasks.)
seed: Once upon a time, there was a little boy named Timmy. Timmy liked to watch the birds fly in the sky. One day, it was raining outside and there was a big puddle in his backyard. Timmy put on his rain boots and went outside to play. He splashed in the puddle and got all wet. The rain was harsh, but Timmy didn't mind because he was having fun. After a while, he went back inside and his mommy helped him dry off. Timmy was happy because he got to watch the rain and play in the puddle. The end.
usecase: Develop an algorithm to classify various types of entities using specific audio features.
  User requests the generation of a creative and engaging narrative in a specific genre or setting.
  Act as an expert in a specialized field and provide detailed explanations using technical language and citations.