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@ -26,6 +26,8 @@ More examples can be found in the [project page](https://minigpt-4.github.io).
- MiniGPT-4 aligns a frozen visual encoder from BLIP-2 with a frozen LLM, Vicuna, using just one projection layer.
- We train MiniGPT-4 with two stages. The first pretraining stage is trained using roughly 5 million aligned image-text pairs with around 40 A100 hours. The second finetuning stage is trained using additional 3,500 carefully curated high-quality pairs with around 7 A100 minutes.
- MiniGPT-4 yields many emerging vision-language capabilities similar to those demonstrated in GPT-4.
![overview](figs/overview.png)