Glossary

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Cross-attention is a mechanism in transformer-based neural networks that enables.
Data anonymization is the process of removing or altering personally identifiable information (PII) from a dataset so that individuals cannot be readily identified from the data. 
Data augmentation is generating new data samples by modifying existing data.
Data labeling is tagging or annotating raw data—such as images.
Data privacy in artificial intelligence refers to protecting personal.
Data redaction is the process of removing or obscuring sensitive or confidential information from a document or dataset to protect privacy, security, and confidentiality.
Data transfer costs in cloud computing refer to the fees associated with moving data.