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

Recent advancements in the field of Artificial Intelligence and Deep Learning have made remarkable strides, especially in generative modelling, which is a subfield of Machine Learning where models are trained to produce new data samples that match the training data. Significant progress has been made with this strategy, in the creation of generative AI systems. […]

The post Researchers at Stanford Introduce Score Entropy Discrete Diffusion (SEDD): A Machine Learning Model that Challenges the Autoregressive Language Paradigm and Beats GPT-2 …

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