Stable Diffusion and LLMs at the Edge with Jilei Hou - #633
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Optimizing Generative AI Models
This chapter explores challenges and advancements in optimizing stable diffusion models and their implications for large language and vision models. Emphasizing quantization and co-design for efficiency, it highlights the differences in computational requirements and methodologies between LLMs and LVMs. The discussion also touches on the necessity for multimodal models and the future of AI interactions, revealing innovations in generative AI that could reshape research and business priorities.
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