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Sebastian Raschka surveyed alternatives to standard autoregressive decoder-style transformers, including text diffusion models and linear attention hybrid architectures. These approaches target better efficiency or improved modeling performance, such as code world models. The overview covers architectures outside the classic transformer paradigm.
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