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1. Introduction: The Autoregressive Hegemony and the Diffusion Alternative 1.1 The Deterministic Bottleneck of Sequential Generation For the past decade, the field of Natural Language Processing (NLP) has been dominated Read More …
Abstract This report provides a comprehensive mathematical treatment of diffusion-based generative models. We begin by deriving the foundational principles of Denoising Diffusion Probabilistic Models (DDPMs), detailing the forward and reverse Read More …
The Imperative for Synthetic Data in the Age of AI The rapid ascent of artificial intelligence, particularly in the domain of deep learning, has been predicated on one fundamental resource: Read More …