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The Race to Production-Grade Diffusion LLMs

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Stefano Ermon discusses adapting diffusion models to language and code generation. Topics include discrete token spaces, parallel token generation, Mercury 2, and trade-offs with autoregressive models. The conversation examines training, serving and post-training challenges, controllable generation and possible directions for multimodal diffusion systems.

Topics

diffusion modelscode generationdiscrete token spacesparallel token generationMercury 2autoregressive modelscontrollable generationmultimodal diffusion systemspost-training

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