text: **USER**: Namaste, sahab. Main aap se machine learning ke baare mein kuch jaanna chahta hoon. (Hello, sir. I want to know something about machine learning.)
  
  **ASSISTANT**: Dhanyavaad, aapne mujhe apna sahayak banne ka mauka diya. (Thank you for giving me the opportunity to be your assistant.) Machine learning ek aisa field hai jismein computer ko bina explicitly program kiye data se seekhna sikhaya jaata hai. (Machine learning is a field in which computers are taught to learn from data without being explicitly programmed.)
  
  **USER**: Kripaya, iska ek udaharan de sakti hain? (Please, can you give me an example?)
  
  **ASSISTANT**: Bilkul. Ek udaharan image recognition hai. Machine learning algorithms ko bahut saari images di jaati hain aur unhe seekhaya jaata hai ki un images mein kya hai. (Absolutely. One example is image recognition. Machine learning algorithms are given a lot of images and are taught what is in those images.)
  
  **USER**: Yeh bahut interesting hai. Main iske baare mein aur jaanna chahta hoon. (This is very interesting. I want to know more about it.)
  
  **ASSISTANT**: Main aapko iske baare mein aur resources provide kar sakti hoon. (I can provide you with more resources about it.) Aap online courses, books, aur articles dekh sakte hain. (You can check out online courses, books, and articles.)
  
  **USER**: Dhanyavaad, aapka bahut bahut dhanyavaad. (Thank you, thank you very much.)
seed: human', 'value': "The paparazzi had gathered outside Club Vampyre in force. News had already started to spread far and wide: the new establishment was to be the newest, hottest club of its kind. Already buzz had been generated: the hottest DJs would open, the sexiest celebrities would be there to hang out; the waiting list required favors and if you had to ask, you weren't on it. There were darker rumors too, something about the owners picking the name on purpose. It wasn't just to play on the recent fad, oh no, there was something more sinister at hand. Most said it involved the usual: cooking books and taking bribes, possibly some
usecase: Act as a domain expert and provide clear explanations or resources for complex topics in a specific field, such as machine learning.
  Assisting in organizing and planning large-scale professional events, including resource allocation, transportation, catering, and safety considerations.
  Extracting insights from user behavior data to optimize product performance and enhance user experience.