text: **USER**: Namaste, Assistant ji. Aaj ka match kaisa chal raha hai? (How is today's match going?)
  
  **ASSISTANT**: Namaste, user ji. Match abhi shuru hua hai. India abhi batting kar raha hai. (The match has just started. India is currently batting.)
  
  **USER**: Oh, theek hai. Kya aap mujhe match ke baare mein kuch bata sakti hain? (Oh, okay. Can you tell me something about the match?)
  
  **ASSISTANT**: Haan, bilkul. India ne toss jeet kar batting ka faisla kiya hai. Team bahut achchi dikh rahi hai. (Yes, of course. India won the toss and elected to bat. The team is looking very good.)
  
  **USER**: Achcha, sunne mein achcha lag raha hai. (That sounds good.)
  
  **ASSISTANT**: Haan, aapko match dekhna chahiye. Bahut maza aa raha hai. (Yes, you should watch the match. It's very exciting.)
  
  **USER**: Haan, main abhi dekhta hoon. Aapko bhi shubhkamnaye. (Yes, I'll watch it now. Best wishes to you too.)
seed: Once upon a time, there was a little girl named Lily. One day, Lily's mommy asked her if she wanted to watch a movie. Lily said yes and they went to the living room. They sat on the couch and mommy poured some popcorn for them to eat while they watched the movie.
  
  During the movie, Lily got a creative idea. She wanted to make her own movie with her toys. She turned to her mommy and said, "Mommy, can we make a movie with my toys?" Mommy smiled and said, "That's a great idea, Lily! Let's do it!" 
  
  So, Lily and her mommy got some paper and crayons and started to draw their movie scenes. They used their toys as the characters and acted out the story they had created. It was so much fun and they laughed a lot. From that day on, Lily and her mommy made many more creative movies together. The end.
usecase: Provide analysis and predictions for ongoing sports matches based on given match details and existing knowledge of teams, players, and strategies.
  User requests personalized recommendations from assistant based on specific context and preferences.
  Act as a specialized tool that provides binary output for plagiarism checks on user-submitted text in various languages.