This tool, called MiniGPT-4, improves how we understand and communicate between visual elements and language. It combines a fixed visual encoder and a fixed large language model using a single projection layer. With this tool, we can generate detailed descriptions of images, transform handwritten drafts into websites, write stories and poems based on images, solve problems represented in images, and even learn cooking techniques from food photos. What’s great about MiniGPT-4 is that it is really fast and efficient because it only needs to train the linear layer to connect visual features with the Vicuna using about 5 million paired image-text examples.