What is Batch inference?Batch inference kya hai?

🧸 Think of it likeAise samjho

Like a teacher correcting all 40 notebooks in one go at night, instead of correcting each one the moment a student hands it in.Jaise teacher raat ko saari 40 copies ek saath check karta hai, har copy milte hi turant check karne ki jagah.

📘 ExplainedVistaar se

Batch inference scores large sets, for example every customer's churn risk each night, and stores the results for apps to read. It's simpler and cheaper than real time serving and fine when predictions don't need to be instant. Real time inference is needed when a decision must happen within a request, like blocking a fraudulent payment.Batch inference bade sets score karta hai, jaise har raat har customer ka churn risk, aur results store karta hai jo apps padhti hain. Yeh real time serving se simple aur sasta hai aur tab theek hai jab predictions turant na chahiye hon. Real time inference tab chahiye jab faisla request ke andar hi lena ho, jaise fraud payment rokna.

💡 Real exampleAsli example

A bank scores all credit card customers every night for next day offers.Bank har raat saare credit card customers ko agle din ke offers ke liye score karta hai.

📖 Learn it step by stepStep by step seekho

• Training vs inference: how ML runs in productionTraining vs inference: ML production mein kaise chalta hai

🔗 Related termsJude hue shabd

• InferenceUsing a trained model to make predictions on new data.Trained model se naye data pe predictions karna.
• LatencyHow long a request takes from asking to getting the answer.Request bhejne se jawaab milne tak kitna time lagta hai.
• Data pipelineAutomated steps that move data from sources, clean and transform it, and deliver it for reports or models.Apne aap chalne wale steps jo sources se data laate, saaf aur transform karte, aur reports ya models tak pahunchaate hain.