Vision-Language Foundation#

Humans naturally process information using multiple senses like sight and sound. Similarly, multimodal learning aims to create models that handle different data types, such as images, text, and audio. There’s a growing trend in models that combine vision and language, like OpenAI’s CLIP. These models excel at tasks like aligning image and text features, image captioning, and visual question-answering. Their ability to generalize without specific training offers many practical uses. Please refer to NeMo Framework User Guide for Multimodal Models for detailed support information.