Update README.md

README.md

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 pipeline_tag: image-classification
 library_name: transformers
 ---
+**Note to users who want to use this model in production**
+
+Beware that this model is trained on a dataset collected **about 1 year ago**. 
+Since then, there is a remarkable progress in generating deepfake images with common AI tools, resulting in a significant concept drift. 
+To mitigate that, I urge you to retrain the model using the latest available labeled data. 
+As a quick-fix approach, simple reducing the threshold (say from default 0.5 to 0.1 or even 0.01) of labelling image as a fake may suffice. 
+However, you will do that at your own risk, and retraining the model is the better way of handling the concept drift.
+
+=======
+
 Predicts with about 98% accuracy whether an attached image is AI-generated.
 
 See https://www.kaggle.com/code/dima806/ai-vs-human-generated-images-prediction-vit for details.