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Multimodal

Models that understand and generate across multiple data types, such as text, images, audio, and video.

For example, you can show a multimodal model a screenshot and ask it to write the code for that UI, or hand it a chart and ask for an analysis. GPT and Gemini are widely used multimodal models.

Related resources

Google Gemini API Documentation
The official documentation for Google's Gemini API, covering text, image, audio, and video understanding in a unified multimodal interface. It includes guides on authentication, function calling, context caching, and code execution, with a generous free tier for experimentation. Aimed at developers building applications that need to process multiple content types within a single request.
LAION Open Multimodal Datasets
LAION (Large-Scale Artificial Intelligence Open Network) provides massive open-source image-text pair datasets that have been widely used to train multimodal models such as CLIP and Stable Diffusion. The datasets are freely available and serve as key infrastructure for open-source generative AI research.