We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3.
Related Posts
Fanatics Betting and Gaming uses AI to focus on the big picture
A conversation with Andrea Ellis, Chief Financial Officer of Fanatics Betting and Gaming.
AI inference startup Fal doubles its valuation to $16B as demand surges
The five-year-old startup raised a $1.3 billion round led by Bessemer.
OpenAI appoints Dali Rajic as Chief Revenue Officer
OpenAI appoints Dali Rajic as Chief Revenue Officer to lead its global revenue organization and help businesses realize the full…