470 000 000 000
IDC Worldwide AI and Generative AI Spending Guide 2026 V2 prognozuje, że europejskie wydatki na AI osiągną blisko 470 mld dolarów do 2030 roku
IDC09/2026Europe
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.
Why it matters
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.
What's missing without it
Without an encoder, the model cannot interpret instructions — it receives raw characters that it cannot associate with any concept.
When it is used
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.
How we use it
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
Artificial intelligence in data
470 000 000 000
Prognozowane całkowite wydatki na AI w Europie w 2030 roku według IDC Worldwide AI and Generative AI Spending Guide 2026 V2
IDC09/2026Europe
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
Figures from the same field — collected in our market data base.