How does DALL-E 2 actually work?

DALL-E 2 has arrived in the AI world with a bang. It is one of the best generative models we have seen to date. But how does this magical model work? In this video, we will take a look into the architecture of DALL-E 2, to understand the working principles.

00:00 Overview
00:34 What can DALL-E 2 do?
00:55 Architecture overview
01:27 CLIP embeddings
03:05 The prior
04:24 Why do we need the prior?
05:20 The decoder
06:13 How are variations created?
06:56 Model evaluation
07:36 Limitations and risks of DALL-E 2
09:21 Benefits of DALL-E 2
10:00 A question for you!

Would you like to read this information instead? Check out the blog post on DALL-E 2 👇

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#MachineLearning #DeepLearning

[smritirani]

that' s pretty impressive technology, this tech has a nice future ahead and the narrator is outsmartly explains pretty much everything

[silasmerrell]

I am deeply interested in how AI can learn and become connected with our internet. Thank you for showing us the cutting edge of that! I hope this program is a massive success!

[sumansaha]

Nice explanation! I would like to know more about diffusion models in depth. They seem completely different from GANs.

[lodewijk.]

Super clear explanation, great work!!!

[tednoob]

Of course, it is named after DALL-E 1, which in turn is named after Salvador Dali and Wall-E

[DanielRieger]

I still don't get HOW it creates the image. I mean, does it use existing images, does it "paint" them, how does it know about shadows, reflections on completely original images. That's what blows my mind about this

[elhamkeshavarzarshadi]

Actually, I was trying to figure out academic explanation for dall e and you explain it perfectly!Now I get the point

[dhifallahothmen]

Hello everyone,
Thank you for this presentation.
I have a question: Does DALL-E 3 work the same way as DALL-E 2? Is it the same architecture and technical components? What is the technical difference between the two?

[oholimoli]

Thank you very much for this video. It is unbelievable that they basically solved human creativity and they did it with a simple model. This is an earthquake for a whole industry. The progress compared to DALLE.1 in just one year is unbelievable. What will they show us next year?

[EmanuelGaldr]

I would love to know more about how the diffusion model understands the "grammar" of an image... I understand how recreating an existing image could work (conceptually), but I cannot grasp how it can use diffusion to generate a meaningful (as in coherent) image that has never existed before.
Would someone recommend any further readings or videos on this, please?

[tristimulus]

6:43 that's pretty cool, but the computer didn't manage to make any of the clocks floppy :P

[salomeshunamon]

Thanks for the video. If the decoder is glide, what model is the Prior? Is it Vae based?

[Kurzrein]

Wow, that was a fantastic explanation, thank you !

[Dharma_]

an excellent lecturer, immeasurable gratitude for the knowledge you share /\

[StefanReich]

> What is DALL-E 2 named after?

DALL-E 2 is named after DALL-E 1. HTH

[culpritdesign]

One of the simplest descriptions I've found for this. Nice job.

[marverickbin]

Can we access the pre-trained model and fine-tune for our own dataset?

[taseronify]

Lets say we enter a text "A dolphin wearing glasses".
Does it fetch source images of a dolphin and glasses from it's large database and crop the objects from 2 sources and combine them in a new image? Then what diffusion does? How does adding noise to an image help in this process? Why reverse the adding noise process when we have the original crisp image?

[AssemblyAI]

What is the name DALL-E 2 based on? Any guesses? Leave a comment!

[kevinsturges]

When and how will this be available to the public? Will there be an iPad app?