26%
Prognozowany udział w pełni elektrycznych pojazdów (BEV, bez hybryd) w europejskim parku samochodowym do 2035 roku, w porównaniu z 4% w 2025 r.
BCG2035Europe
A model trained on hundreds of millions of image-caption pairs. It places images and text in a shared numerical space, enabling it to assess how well a given description matches a given image.
Why it matters
Thanks to CLIP, image generators understand visual descriptions — such as 'warm lighting', 'shallow depth of field', or 'overhead shot'. The same mechanism powers image search using natural language instead of keywords.
What's missing without it
Without models like this, scene descriptions would have to be reduced to rigid labels from a fixed list, and generators would respond only to simple nouns.
When it is used
In every image generator, visual search engines, and automatic image captioning in media libraries.
How we use it
CLIP understands appearance well but grammar poorly. It treats the sentences 'woman holding a report' and 'report holding a woman' almost identically — for capturing relationships between objects, language encoders are needed.
Numbers worth knowing
Artificial intelligence in data
88%
Meta podaje, że ponad 88% z 137 000 usuniętych reklam oszukańczych w Polsce zostało wykrytych automatycznie przed zgłoszeniem.
Meta09/2026Poland
2 500 000 000 000 USD
Prognozowane światowe wydatki na AI w 2026 roku.
Gartner2026global
Figures from the same field — collected in our market data base.