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
Part of a model that converts human-readable data — such as text, images, or audio — into a sequence of numbers representing their meaning. The model does not process words directly, but works with these numerical representations.
The quality of the encoder determines whether the model actually understands the input instruction. In image generators, this is the most common cause of mismatch between what is described in the prompt and what appears in the generated image.
Without an encoder, the model cannot interpret instructions — it receives raw characters that it cannot associate with any concept.
Always when feeding text or images into the model. Large image generators often use multiple encoders simultaneously, each capturing a different aspect of the prompt.
Encoders can be larger than the actual image-generating component. When working without a graphics card, it’s efficient to compute the prompt embeddings once for all frames, save the result, and then load the rest of the model.
Numbers worth knowing
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
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.
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