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The Future of Image Models Is Multimodal

AI + a16z

CHAPTER

Exploring Technology Shifts and Diffusion Models in AI

The speaker reflects on their journey at Google, transitioning from machine translation to image generation technology utilizing diffusion models. They discuss the innovative approach of generating bits simultaneously and refining them iteratively, emphasizing the contrast with autoregressive models. The chapter also touches on the impact of transformer architecture on the machine learning industry and the decision to leave Google to pursue product innovation with IdeaGram.

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