Context is All You Need

Researchers introduce CONTXT, a lightweight neural network adaptation method that improves AI model performance when deployed on data different from training data. The technique uses simple additive and multiplicative transforms to modulate internal representations, providing consistent gains across both discriminative and generative models including LLMs.