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Stable Diffusion and LLMs at the Edge with Jilei Hou - #633
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Ad-Round Technique and Local Optimization
I'm wondering if you can elaborate on that a little bit and how specific to the diffusion model, the local optimization that you had to do was. How generalizable do you expect it to be or what aspects do you expect to generalize? You're more specific on the Ad-Round technique or for Ad-Round, yes. We look at a combination of different kind of techniques here. So, quantization is still part of it too.
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