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AI Glossary Categories
Alphabetical
A
Ablation
Accuracy in Machine Learning
Acoustic Models
Activation Functions
Active Learning (Machine Learning)
AdaGrad
Adversarial Machine Learning
Affective AI
AI Agents
AI Alignment
AI and Big Data
AI and Education
AI and Finance
AI and Medicine
AI Assistants
AI Detection
AI Emotion Recognition
AI Ethics
AI Generated Music
AI Guardrails
AI Hallucinations
AI Hardware
AI in Customer Service
AI Interpretability
AI Lifecycle Management
AI Literacy
AI Monitoring
AI Oversight
AI Privacy
AI Prototyping
AI Recommendation Algorithms
AI Regulation
AI Resilience
AI Robustness
AI Safety
AI Scalability
AI Simulation
AI Speech Enhancement
AI Standards
AI Steering
AI Transparency
AI Video Generation
AI Voice Agents
AI Voice Transfer
AlphaGo
AlphaGo Zero
Approximate Dynamic Programming
Articulatory Synthesis
Artificial Super Intelligence
Association Rule Learning
Attention Mechanisms
Augmented Intelligence
Auto Classification
Autoencoder
Autoregressive Model
B
Backpropagation
Batch Gradient Descent
Bayesian Machine Learning
Beam Search Algorithm
Benchmarking
BERT
Bias-Variance Tradeoff
Binary Classification AI
Boosting in Machine Learning
C
Candidate Sampling
Capsule Neural Network
Causal Inference
Central Processing Unit (CPU)
Chatbots
ChatGPT
Chess bots
Classification
Clustering Algorithms
Clustering in Machine Learning
Cognitive Architectures
Cognitive Computing
Cognitive Map
Collaborative Filtering
Common Crawl Datasets
Composite AI
Computational Creativity
Computational Linguistics
Computational Phenotyping
Computational Semantics
Concatenative Synthesis
Conditional Variational Autoencoders
Confidence Intervals in Machine Learning
Confirmation Bias in Machine Learning
Context-Aware Computing
Continuous Learning Systems
Contrastive Learning
Conversational AI
Convolutional Neural Networks
Corpus in NLP
Counterfactual Explanations in AI
Cross Validation in Machine Learning
CURE Algorithm
Curse of Dimensionality
D
Dall-E
Data Augmentation
Data Drift
Data Labeling
Data Poisoning
Data Scarcity
Datasets
Decision Intelligence
Decision Tree
Deep Learning
Deep Reinforcement Learning
Deepfake Detection
Differential Privacy
Diffusion
Diffusion Models
Dimensionality Reduction
DistilBERT
Domain Adaptation
Double Descent
E
Eco-friendly AI
Ego 4D
Embedding Layer
Emergent Behavior
End-to-end Learning
Ensemble Learning
Entropy in Machine Learning
Epoch in Machine Learning
Ethical AI
Evolutionary Algorithms
Expectation Maximization
Explainable AI
F
F1 Score in Machine Learning
F2 Score
Feature Learning
Feature Selection
Feature Store for Machine Learning
Federated Learning
Feedforward Neural Network
Few Shot Learning
Fine Tuning in Deep Learning
Flajolet-Martin Algorithm
Forward Propagation
Foundation Models
Fundamentals
G
Gated Recurrent Unit
Gaussian Processes
Generative Adversarial Networks (GANs)
Generative AI
Generative Teaching Networks
Genetic Algorithms in AI
Google's Bard
Gradient Boosting Machines (GBMs)
Gradient Clipping
Gradient Scaling
Graph Neural Networks
Grapheme-to-Phoneme Conversion (G2P)
Graphics Processing Unit (GPU)
Ground Truth in Machine Learning
Grounding
H
Hidden Layer
Hidden Markov Models (HMMs)
Homograph Disambiguation
Hooke-Jeeves Algorithm
Human Augmentation with AI
Human-centered AI
Human-in-the-Loop AI
Hybrid AI
Hyperparameter Tuning
Hyperparameters
I
Image Recognition
ImageNet
Imbalanced Data
Incremental Learning
Inductive Bias
Inference Engine
Information Retrieval
Instruction Tuning
Intelligent Document Processing
K
k-Shingles
Keras
Keyphrase Extraction
Knowledge Distillation
Knowledge Representation and Reasoning
L
Large Language Model (LLM)
Latent Dirichlet Allocation (LDA)
Learning Rate
Learning To Rank
Limited Memory AI
Llama 2
LLM Collection
Logits
Loss Function
M
Machine Learning
Machine Learning Bias
Machine Learning in Algorithmic Trading
Machine Learning Life Cycle Management
Machine Learning Neuron
Machine Learning Preprocessing
Machine Translation
Mamba
Markov Decision Process
Matplotlib
Metacognitive Learning Models
Metaheuristic Algorithms
Midjourney (Image Generation)
Mistral
Mixture of Experts
MLOps
Model Drift
Model Interpretability
Models
Monte Carlo Learning
Multi-Agent Systems
Multi-task Learning
Multimodal AI
Multimodal AI Models and Modalities
Multimodal Learning
Multitask Prompt Tuning
N
Naive Bayes Classifier
Named Entity Recognition
Natural Language Generation (NLG)
Natural Language Processing (NLP)
Natural Language Querying (NLQ)
Natural Language Toolkit (NLTK)
Natural Language Understanding (NLU)
Neural Radiance Fields
Neural Style Transfer
Neural Text-to-Speech (NTTS)
Neuralink
Neuroevolution
NumPy
O
Objective Function
One-Shot Learning
Online Gradient Descent
OpenAI Sora
OpenAI Whisper
Out-of-Distribution Detection
Overfitting and Underfitting
P
Packages
Pandas
Parametric Neural Networks
Part-of-Speech Tagging
Perceptron
Pooling (Machine Learning)
Precision and Recall
Pretraining
Principal Component Analysis
Probabilistic Models in Machine Learning
Prompt Chaining
Prompt Engineering
Prompt Tuning
PyTorch
Q
Quantum Machine Learning Algorithms
R
Random Forest
Rectified Linear Unit (ReLU)
Recurrent Neural Networks
Regularization
Representation Learning
Reproducibility in Machine Learning
Restricted Boltzmann Machines
Retrieval-Augmented Generation (RAG)
RLHF
RoBERTa
Rule-Based AI
S
Scikit-learn
SciPy
Seaborn Python Package
Self-healing AI
Semantic Kernel
Semantic Networks
Semantic Search Algorithms
Semi-structured data
Semi-Supervised Learning
Sentiment Analysis
Sequence Modeling
Speech-to-text models
Spike Neural Networks
SQuAD
Statistical Relational Learning
Supervised Learning
Support Vector Machines (SVM)
Symbolic AI
Synthetic Data for AI Training
T
Techniques
Tensor Processing Unit (TPU)
TensorFlow
Test Data Set
Text-to-Speech Models
The Pile
Tokenization
Topic Modeling
Transfer Learning
Transformers
U
Uncertainty in Machine Learning
Unsupervised Learning
V
Validation Data Set
Vanishing and Exploding Gradients
Voice Cloning
W
Whisper v2
Whisper v3
Winnow Algorithm
Word Embeddings
X
XLNet
Z
Zero-shot Classification Models
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