I figured out what GPT-4 Vision could do
AI Summary
Summary of GPT-4 Vision
- Introduction to GPT-4 Vision
- GPT-4 Vision allows giving images as inputs for responses, enhancing its functionality beyond just text prompts.
- Seven Use Categories
- Describe: Generate a detailed description of the content in an image.
- Interpret: Analyze and synthesize insights from the image instead of just describing it.
- Recommendations: Offer feedback or suggestions based on images, such as design critiques or menu item choices.
- Convert: Transform images into different formats (e.g., UI to code, images to Lightroom settings).
- Extract: Retrieve structured data from unstructured images (e.g., extracting info from a driver’s license).
- Evaluate: Provide subjective evaluations or ratings based on image content (e.g., rating the cuteness of dogs).
- Assist: Solve problems based on the content of an image, such as providing help with a spreadsheet or locating lost items.
- Reflections on Future of GPT-4 Vision
- Currently, the API access is limited, but its potential for iterative iterations could elevate its applications.
- Addressing hallucinations is vital, as early demos may not reflect complete accuracy.
- Email subscribers receive access to a comprehensive list of 80 use cases demonstrated in the video.