Glossary

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A context window refers to the amount of text or data a machine learning model.
ControlNet is a neural network architecture designed to enhance the controllability.
Conversational AI refers to artificial intelligence technologies that enable machines to engage.
In agentic AI, coordination among autonomous agents is vital for optimizing system performance and achieving common objectives. Coordination Protocols serve as guidelines or rules that define how agents should interact with one another to ensure smooth, efficient operation. 
Cost allocation tags are key-value pairs attached to AWS resources that allow organizations.
Cost anomaly detection utilizes machine learning to identify and alert.
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.