Edge AI Trade-offs
Daniel Situnayake and Daniel Bashir discuss the challenges and trade-offs in edge AI systems, particularly in terms of performance and model compression techniques like quantization and pruning. They delve into the impact of reducing model fidelity and the need for tools to help understand and mitigate these effects on edge AI datasets.In this clip
From this podcast
The Gradient
Daniel Situnayake: AI on the Edge
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