Researchers At Stanford Introduce Score Entropy Discrete Diffusion (sedd): A Machine Learning Model That Challenges The Autoregressive Language Paradigm And Beats Gpt-2 On Perplexity And Quality

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Recent advancements in generative modelling have led to the creation of powerful AI systems that can produce images and solve complex problems. Researchers have developed a new model, SEDD, which combines the strengths of autoregressive and diffusion models to overcome their limitations in text generation.

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Researchers At Stanford Introduce Score Entropy Discrete Diffusion (sedd): A Machine Learning Model That Challenges The Autoregressive Language Paradigm And Beats Gpt-2 On Perplexity And Quality

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Researchers At Stanford Introduce Score Entropy Discrete Diffusion (sedd): A Machine Learning Model That Challenges The Autoregressive Language Paradigm And Beats Gpt-2 On Perplexity And Quality

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