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Glossary

Insights, News & Updates

Explainable AI (XAI)

Explainable AI (XAI) refers to artificial intelligence systems that make their decision-making processes transparent.

Federated Learning

Federated learning is a machine learning technique allowing multiple devices.

Few-shot Chain-of-Thought

Few-shot Chain-of-Thought (CoT) prompting is used in large language models (LLMs). In this strategy, the user provides a few examples of step-by-step reasoning (called chains of thought ) to guide the model toward generating its rationale for new questions.

Few-Shot Learning

Few-shot learning is a type of machine learning where a model.

Few-Shot Prompting

Regular machine learning workflows often depend on large labeled datasets.

Fine-Tuning

Fine-tuning is a machine learning process in which a pre-trained model.

Fine-tuning with PEFT (Parameter-Efficient Fine-Tuning)

Parameter-Efficient Fine-Tuning (PEFT) is a method for adapting large pre-trained models.

Format-Preserving Encryption

Format-Preserving Encryption (FPE) is a specialized encryption technique that encrypts data while preserving its original format and structure.

Generative Adversarial Networks (GANs)

A generative adversarial network (GAN) is a deep learning model comprising.