You already know how LLMs work from our popular 20-minute explainer. Now we take it to images. What does Michelangelo have to do with stable diffusion? More than you'd think. Walk away knowing how image generation actually works — and what it has in common with the text models you already understand.

Full shownotes at fragmentedpodcast.com.

Show Notes

Episode 303 - How LLMs work in 20 minutes - text generation
VAE -
Variational Autoencoder
RGB Color model - wikipedia
Word2Vec technique - wikipedia
- Efficient Estimation of Word Representation -
  original Word2Vec paper by Mikolov et al.
High-Resolution Image Synthesis with Latent Diffusion Models -
Rombach et al. (2022) — the paper behind Stable Diffusion
Image Training data
- LAION-5B - 5 billion image-text pairs
  scraped from the web, used to train many image generation models
- WebLI - Google's internal image-text
  dataset
Michelangelo

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[!fyi] We transitioned from Android development to AI starting with
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308 - How Image Diffusion Models Work - the 20 minute explainer

Fragmented - AI Developer Podcast

308 - How Image Diffusion Models Work - the 20 minute explainer