The actual paper for DALL-E was released only a few days after we published our episode 2, so in this episode we re-visit DALL-E in its full published glory. Joining us as a special guest for this episode is Aditya Ramesh from OpenAI, the lead author of DALL-E.

DALL-E blog post: https://openai.com/blog/dall-e/

DALL-E paper: https://arxiv.org/abs/2102.12092

DALL-E code (encoder/decoder model only, so far): https://github.com/openai/dall-e
 

Deep Learning Deep Dive is also available on YouTube, where we scroll through relevant parts of the paper and code while talking about them:
https://www.youtube.com/watch?v=PtdpWC7Sr98

We reached out and collected written consent from all participating audience speakers.

Rss Apple Podcaster
Podden och tillhörande omslagsbild på den här sidan tillhör Deep Learning Deep Dive. Innehållet i podden är skapat av Deep Learning Deep Dive och inte av, eller tillsammans med, Poddtoppen.