What is Ferret?
A new type of multimodal large language model (MLLM) from Apple that excels in both image understanding and language processing, particularly demonstrating significant advantages in understanding spatial references.
Problem
Users often struggle to effectively search and reference multimodal content (images and language) with precise spatial references. This limitation hampers the ability to accurately retrieve or understand complex information that involves both visual and textual elements.
Solution
Ferret is a multimodal large language model (MLLM) developed by Apple, which excels at both image understanding and language processing. It enables users to refer and ground anything anywhere at any granularity, significantly improving the precision of understanding and referencing spatial aspects in multimodal content.
Customers
Data scientists, AI researchers, content creators, and educators who require advanced tools for multimodal content analysis and creation.
User Comments
Users appreciate the precise spatial reference capabilities.
Impressed by the integration of image and language understanding.
Finds Ferret's unique approach flexible and powerful.
Notes improvement in research and content creation.
Positive feedback on the ease of use despite the advanced features.
