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Glad you liked it! Just curious, what else would you like to see to make the post more complete? I had focused on getting through the basics of diffusion traini

• godelski 3y ago
  That's actually hard for me to answer. I'm afraid to taint it. Honestly, I'd be wary to touch it especially being advice coming from someone already well versed in the domain. It's too easy to accidentally complexify and then you end up losing your target audience. But maybe the connection to VAEs could be made clearer? Maybe a bit clearer or better introducing the topic of optimization? But again, it's a hard line to walk because you've successfully written something that is approachable to a novice. This is the same problem I suffer when trying to teach haha. But I think the fact that you're asking and looking to improve it's the biggest sign you'll continue to do well. For later topics I think there's a lack on discussions about things like score modeling, the difficulties of understanding latent representations (so many misunderstand the curse of dimensionality), and Schrodinger Bridges. There's so much lol The better advice I can give is to listen to anyone complaining. It's hard because you have to try to see beyond their words and find their intent (I think this also makes them more digestible and less emotionally draining/hurtful). Especially consider a novice isn't going to have to right words to correctly express their difficulties parsing and it may just come out looking like anger when it's frustration. Just keep doing your best :)