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AI Demystified: Unraveling the technology behind all those AI buzzwords

Active Learning

Adversarial Machine Learning

AI Data Labeling

AIES - Artificial Intelligence Enabled Services

Anomaly Detection

Artificial General Intelligence

Artificial Neural Network

Backpropagation

Brute Force Search

Computer Vision

Convolutional Neural Networks (CNN)

Data Augmentation

Data Decomposition

Data granularity

Eager Execution

Ensemble Learning

Facial Recognition

Feedforward Propagation

Generalization Curve

Generative Adversarial Networks (GANs)

Graphics Processing Unit (GPU)

Human Workforce (“Labelers”)

Image Preprocessing

Image Recognition

Image Segmentation

Instance Segmentation

Kernel Support Vector Machines (KSVMs)

L₀ regularization

L1 regularization

L2-regularization

Large Language Model (LLM)

Machine Learning

Misclassification Rate

Named Entity Recognition (NER)

Natural Language Generation

Natural Language Processing

Natural Language Query (NLQ)

Natural Language Technology (NLT)

Neural Radiance Fields (NeRF)

Not Suitable for Work (NSFW)

Null Error Rate

Object Detection

Object Tracking

Panoptic Segmentation

Part-of-Speech Tagging

Polygon Annotation

Recall (Sensitivity)

Recurrent Neural Networks (RNNs)

Reinforcement Learning

Reinforcement Learning from Human Feedback

Semantic Segmentation

Sentiment Analysis

Supervised Learning

Tensor Processing Unit (TPU)

Unawareness (to a sensitive attribute)

Unsupervised Learning

Validation Data

Validation Dataset

Voice Recognition

Web Crawler (Spider)

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