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distill.pub
| | blog.evjang.com
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| | This is a tutorial on common practices in training generative models that optimize likelihood directly, such as autoregressive models and ...
| | colinraffel.com
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| | sander.ai
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| | Thoughts on the tension between iterative refinement as the thing that makes diffusion models work, and our continual attempts to make it _less_ iterative.
| | michael-lewis.com
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| This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background.