The AI Jargon Buster!

Mar 02, 2024

This glossary provides a solid starting point for understanding various AI-related terms. Keep in mind that AI is a rapidly evolving field, and new terms and concepts may emerge over time. It’s essential to stay updated by referring to reputable sources and industry publications.

We have compiled the AI Top glossary of AI (Artificial Intelligence) terms with their definitions:

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Algorithm: Artificial Intelligence (AI):Machine Learning (ML):Deep Learning:Federated Learning:Quantum Computing:Neural Network:Neuroevolution:Large Language Model (LLM):Natural Language Processing (NLP):Computer Vision:Reinforcement Learning:Supervised Learning:Unsupervised Learning:Semi-Supervised Learning:Transfer Learning:Knowledge Graph:Convolutional Neural Network (CNN):Recurrent Neural Network (RNN):Generative Adversarial Network (GAN):Bias in AI:Ethics in AI:Explainable AI (XAI):Edge AI:Big Data:Internet of Things (IoT):AIaaS (AI as a Service):Chatbot:Cognitive Computing:AI Model:Data Labeling:Bias Mitigation:Hyperparameter:Overfitting:Underfitting:Anomaly Detection:Ensemble Learning:TensorFlow:PyTorch:Reinforcement Learning Agent:GPT (Generative Pre-trained Transformer):Turing Test:Singularity:Swarm Intelligence:Robotics:Autonomous Vehicles:Facial Recognition:Sentiment Analysis:Zero-Shot Learning:One-Shot Learning:Self-Supervised Learning:Time Series Analysis:Adversarial Attacks:Data Augmentation:Bayesian Networks:Hyperparameter Tuning:

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