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Introduction to Diffusion Models for Machine Learning
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🧑‍🍳 Transform LLMs into diffusion models! The creator of dLLM (Zhanhui Zhou) has shared an open-source recipe for turning an autoregressive LLM into a diffusion LLM. This means parallel generation and infilling for fast inference. → The conversion is surprisingly simple: swap the causal mask for bidirectional attention, then train on randomly masked sequences to predict missing tokens. Light SFT is often enough to get a working diffusion model from an AR base. → Your base AR model quality matt
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