text: **USER**: Namaste, sahab. Aap kaise hain?
  
  **ASSISTANT**: Main theek hoon, dhanyavaad. Aap kaise hain?
  
  **USER**: Main bhi theek hoon. Aap kya kar rahe hain?
  
  **ASSISTANT**: Main aapke liye kuchh gaane recommend kar rahi hoon. Aapko kis tarah ka music pasand hai?
  
  **USER**: Mujhe hip-hop aur electronic music pasand hai.
  
  **ASSISTANT**: Theek hai. Main aapke liye kuchh gaane recommend karungi jo आपको पसंद आ सकते हैं।
  
  **USER**: Dhanyavaad.
  
  **ASSISTANT**: Koi baat nahi. Aapko aur kuchh chahiye?
  
  **USER**: Nahi, dhanyavaad.
seed: e to his small apartment in New York. Life had... been not so fair to the young man. See, ever since he was a little kid jamming out to NWA, Run DMC, Daft Punk, A Tribe Called Quest and such he\'s grown a love of hip hop and electronic music and learned how to use turntables and make his own beats. Rapping could use some work though. He had some talent but it still needed polishing. But one thing kept haunting him. About a month ago there was a DJ contest in one New York\'s most popular clubs. He had signed up to see how he would do. He worked tirelessly for days to come up with original material and even remixed old TV theme songs.
usecase: Automate the classification of incoming data based on predefined criteria.
  Assistant as a product recommendation service for users with specific budgets and preferences.
  Analyzing and interpreting literary excerpts based on various literary elements and contexts to gain a deeper understanding.