MiniGPT-4 is an AI model that focuses on enhancing vision-language understanding using advanced large language models.It is based on the idea that the advanced multi-modal generation capabilities of models like gpt-4 can be attributed to the utilization of a large language model (llm).

minigpt-4 aligns a frozen visual encoder with a frozen llm called vicuna using one projection layer.It exhibits similar capabilities to gpt-4, such as generating detailed image descriptions and creating websites based on hand-written drafts.

Additionally, minigpt-4 can write stories and poems inspired by given images, provide solutions to problems shown in images, and even teach users how to cook based on food photos.The architecture of minigpt-4 consists of a vision encoder pretrained with vit q-former, a single linear projection layer, and the advanced vicuna large language model.

The training of the linear layer is necessary to align visual features with vicuna.The model is highly computationally efficient, requiring approximately 5 million aligned image-text pairs for training the projection layer.