Are autoregressive models the only way to build powerful LLMs? A fascinating paper titled "Large Language Diffusion Models" explores an alternative, and I've put together a presentation to walk through their findings. The authors introduce LLaDA, a non-autoregressive model that uses a diffusion process to generate text. My slides cover how this approach works and highlight some of its impressive results, such as strong performance on various benchmarks and a unique advantage in reversal reasoning tasks. Check them out for a summary of this exciting research.
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