What is inference in AI systems?
Training is learning-Inference is applying.
How It Works:
Inference runs a trained model on new data to generate predictions or classifications, using optimized compute paths for fast, real-time responses.
Key Benefits:
- Instant insights: Delivers immediate results.
- Cost control: Cheaper than continuous training.
- Scalability: Can handle high-volume request bursts.
Real-World Use Cases:
- Real-time translation: Convert speech on the fly.
- Fraud detection: Flag suspicious transactions as they occur.
FAQs
Is inference faster on CPU or GPU?
How optimize latency?
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