Description

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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Co-hosts:

• Kaushik Gopal
• Iury Souza

[!fyi] We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind

our new direction.