AI Glossary

214+ essential AI terms explained clearly - from A to Z.

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N

8 terms

Showing all terms starting with N

Natural Language Processing (NLP)

AI technology that enables computers to understand, interpret, and generate human language - the foundation of chatbots, translation, and voice assistants.

Neural Network

A computing architecture inspired by the human brain, consisting of interconnected layers of nodes that learn to recognise patterns in data.

No-Code AI

AI tools that allow users to build, deploy, and use AI-powered applications without writing any programming code.

Named Entity Recognition (NER)

An NLP task identifying and classifying named entities such as people, places, and organisations within unstructured text.

Negative Sampling

A training technique that improves efficiency by training on a small subset of negative examples rather than the full set of non-target classes.

Neural Architecture Search (NAS)

Automated methods for discovering optimal neural network architectures using reinforcement learning or evolutionary algorithms.

Noise Injection

Adding random perturbations to training data or model activations to improve robustness and prevent overfitting.

Non-Deterministic Output

The property of generative AI models where identical prompts can produce different outputs due to sampling randomness controlled by temperature.

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214 terms across 26 letters

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