All activity
Christoph Michael
left a comment
Hi Eyüphan,
Thanks for reaching out.
With the limited info about Wetlk.com at hand, the first use case that comes to mind to build with vector embeddings is automatic detection of inappropriate content on the platform and flagging it.
This can be built for all data formats, be it inappropriate text, images, video or audio.
Strategic Marketing Tips for AI-Moderated Social Platform Wetlk
Eyüphan Aslan
Join the discussion
Retrieving vector embeddings from petabytes of images, videos or text is challenging to scale, while having full control of its quality and a high precision in search system. Quasara helps retrieve high-quality and high-dimensional vector embeddings.
Synapsis - Vectorisation as a Service
We connect visual data to AI applications.