MiniGPT-4 is an AI model that focuses on improving the understanding of vision and language by utilizing advanced large language models. This model, similar to gpt-4, is able to generate detailed image descriptions, create websites from hand-written drafts, write stories and poems based on 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 includes a vision encoder pretrained with vit q-former, a single linear projection layer, and the advanced vicuna large language model. By aligning a frozen visual encoder with a frozen llm called vicuna using one projection layer, minigpt-4 exhibits similar capabilities to gpt-4.
To align visual features with vicuna, the training of the linear layer is necessary. Despite its high computational efficiency, the model requires approximately 5 million aligned image-text pairs for training the projection layer.
❤ Generating descriptions for images
❤ Creating websites from handwritten drafts
❤ Generating stories and poems inspired by images
❤ Solving problems using visual aids
❤ Teaching cooking instructions using food photos
#️⃣ Generate comprehensive descriptions and captions for images.
#️⃣ Develop website code using preliminary designs and sketches.
#️⃣ Create captivating narratives and poems inspired by visuals.
