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Attack of the C̶l̶o̶n̶e̶s̶ Text!

Practical AI

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Exploring Adversarial Examples in NLP

This chapter focuses on the complexities and methodologies for generating adversarial examples in natural language processing (NLP) models. It discusses challenges in defining these examples and highlights the importance of tools like Text Attack for enhanced model robustness. The conversation also emphasizes collaborative advancements in the field and their applications in improving user experiences and model performance.

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