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4min chapter
Stable Diffusion and LLMs at the Edge with Jilei Hou - #633
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Challenges of Running a Machine Learning Workload on a Device
The challenge is coming onto model size. The second challenge clearly comes down to the inference latency. This is what would require a full stack research and optimization. Make sure from a model system algorithms for to software stack and eventually to the hardware silicon processor, we have to look at everything to being working very nicely together.
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