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Applied AI·August 20, 2026·1 min read

KerasFormers

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KerasFormers lowers the friction to experiment with transformer architectures inside a familiar Keras stack, which pulls more teams toward custom model work instead of pure API consumption. For ML leads, this widens the middle ground between "just call an LLM" and "build a full research team."