How does real-time inference work in AI?
Real-time inference in AI refers to the ability of a model to make predictions or decisions instantly as new data comes in.
What are some applications of real-time inference?
Applications include autonomous vehicles, fraud detection, and personalized recommendations in e-commerce.
What technologies are used for real-time inference?
Technologies include edge computing, optimized algorithms, and specialized hardware like GPUs and TPUs.
How does it differ from batch processing?
Unlike batch processing, which analyzes data in large groups, real-time inference processes data immediately as it arrives.
Can you give an example of real-time inference in action?
Sure! A common example is a credit card transaction where AI checks for fraud in real-time before approval.
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