2min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Stable Diffusion and LLMs at the Edge with Jilei Hou - #633

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

The Differences Between LVM and LLM

The attention module is a very sort of important kind of constituent block, right? In terms underneath the hook and being able to support both LVM and LLM. We believe we know in a best spot, at least from the edge from the device front, but on the other hand, we also realize the computation nature between LVM versus LLM is also very different. The compute density for the LVM is potentially much higher on a per weight basis as compare LLM. This is also trying very different requirement when we think about this, the software stack When we think about the graph level compilation technique, applying to LLM and LLM somewhat can be different too. But on the other

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