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Showing posts with the label Model Compression

What Gets Lost When an AI Model Is Compressed?

A compressed photograph can look perfect until you zoom in. The main shapes remain, but fine edges, textures, and subtle differences may begin to blur. Compressed AI models can behave similarly: common tasks still work, while rare instructions and delicate distinctions become less reliable. Why is the loss so uneven?

How Engineers Make Large AI Models Small Enough for Phones

A large AI model can be too heavy for a phone in the same way a detailed wall map is too large for your pocket. Engineers can shrink it by reducing numerical precision, teaching a smaller model, or removing less useful structures. But how much can they cut before the map stops guiding you?