The transformer processes a sequence by letting every element attend to every other, capturing context regardless of distance. Introduced for language, it now underlies LLMs, ViTs, and generative video, which is why one architecture name appears across the whole field.
The book · Volume 6 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Models and Inference to Computer Vision, Speech, Search, and Generative Video
The transformer is the one architecture behind LLMs, vision models and generative video, so understanding its cost and context limits explains most AI trade-offs in a video product. Volume 6 covers the transformer in detail within the ML minimum: attention, vision transformers, model artifacts and how architecture choices show up in deployment. Written by Nikolay Sapunov, CEO at Fora Soft.
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