Knowledge distillation transfers what a large model knows into a compact one by training the student on the teacher's outputs. The result runs cheaper and faster on edge hardware, which is why distilled models are common in real-time video features.
The book · Volume 7 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Real-Time Pipelines and Agents to Serving, Cost, Compliance, and Verticals
Knowledge distillation is how a model that only fits a data-centre GPU ends up running inside a live call on an edge box. This volume covers knowledge distillation for production: distillation and quantization for edge video AI, serving with TensorRT, latency budgets in real-time pipelines, and cost per stream-hour. Written by Nikolay Sapunov, CEO at Fora Soft.
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Tell us the model and the target device, and we will plan a distillation run with expected size, speed and accuracy of the student model. 250+ video products shipped since 2005.
