DALL-E Mini Explained with Demo Tech report: - Financed by G | Data Science by ODS.ai 🦜

DALL-E Mini Explained with Demo

Tech report:

- Financed by Google Cloud and HF, essentially an advertising campaign for JAX, 8 person team
- 27x smaller than the original, trained on a single TPU v3-8 for only 3 days + ~3 weeks for experiments, 400M params
- 30m image-text pairs, only 2m used to fine-tune the VQGAN encoder
- Could use preemptible TPU instances
- Pre-trained BART Encoder
- Pre-trained VQGAN encoder
- Pre-trained CLIP is used to select the best generated images
- (so the actual cost probably is actually ~1-2 orders of magnitude higher)
- (compare with 20k GPU days stipulated by Sber)
- The report is expertly written and easy to read