Glossary

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Few-shot learning is a type of machine learning where a model.
Regular machine learning workflows often depend on large labeled datasets.
Fine-tuning is a machine learning process in which a pre-trained model.
Parameter-Efficient Fine-Tuning (PEFT) is a method for adapting large pre-trained models.
Format-Preserving Encryption (FPE) is a specialized encryption technique that encrypts data while preserving its original format and structure. 
A generative adversarial network (GAN) is a deep learning model comprising.
Generative AI (also known as GenAI) is an artificial intelligence.
Goal-Oriented AI refers to AI systems designed to pursue explicitly defined objectives by selecting actions that move them closer to a desired outcome.