Overview
Explore the fascinating world of DALL·E mini, a smaller version of OpenAI's DALL·E, in this comprehensive video lecture. Learn about the model's ability to generate images from text prompts, its simplified architecture, and the challenges faced during development. Discover the data sets, model overview, and training process behind this innovative project. Gain insights into sequence-to-sequence and sequence-to-image models, and understand why specific approaches were chosen. Examine cool examples, results, and evaluation methods. Delve into possible approaches for improvement and compare the project to the original OpenAI paper. Led by Boris Dayma, a Machine Learning Engineer and lead author of the DALL·E mini project, this talk offers valuable knowledge for AI enthusiasts and professionals alike.
Syllabus
Intro
About DALLE
Demonstration
How did we come to build
The challenge
The repository
Project timeline
Data sets
Model overview
Sequence to sequence model
Sequence to image overview
Image examples
Why did we use it
How the training went
How it works
Model
Training
Cool examples
Results
Evaluation
Possible approaches
OpenAI paper
Taught by
Abhishek Thakur