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Lilypad Network @Lilypad_Tech on x 9230 followers
Created: 2025-07-16 16:03:03 UTC
Transformers changed everything.
They’re the foundation behind models like ChatGPT and Stable Diffusion. Why? Because transformers can process all parts of input data simultaneously using a mechanism called attention, which helps the model weigh which parts of the input are most relevant, rather than reading data strictly in sequence like earlier models.
In text generation, this means the model can consider the entire sentence or even multiple paragraphs when predicting the next word. In image generation, transformers help align different parts of the input prompt with specific visual features during the generation process, particularly in text-to-image models like Stable Diffusion that use cross-attention layers.
Transformers enabled models to learn complex patterns in language, images, and even code with a level of parallelism and scale that made today’s generative AI possible.
They’re the key to building systems that understand context and see the big picture.
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