AI Glossary
📖 AI Glossary
101+ Artificial Intelligence Terms Explained
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Artificial Intelligence (AI)
The simulation of human intelligence in machines.
Machine Learning
Systems that learn from data without explicit programming.
Deep Learning
Neural networks with many layers.
Neural Network
Computing system inspired by biological neural networks.
Natural Language Processing
AI field focused on human-computer language interaction.
Computer Vision
AI field enabling machines to interpret visual information.
Generative AI
AI systems that create new content.
Large Language Model
Deep learning model trained on massive text data.
Transformer
Neural network architecture using attention mechanisms.
GPT
Generative Pre-trained Transformer by OpenAI.
BERT
Bidirectional Encoder Representations from Transformers by Google.
Hallucination
When AI generates false information.
Prompt Engineering
Crafting inputs for optimal AI responses.
RAG
Retrieval-Augmented Generation.
Fine-tuning
Adapting a pre-trained model to specific tasks.
Reinforcement Learning
Learning by interacting with an environment.
Supervised Learning
Learning from labeled data.
Unsupervised Learning
Learning from unlabeled data.
Classification
Categorizing data into classes.
Regression
Predicting continuous values.
Clustering
Grouping similar data points.
CNN
Convolutional Neural Network for images.
RNN
Recurrent Neural Network for sequences.
LSTM
Long Short-Term Memory, a type of RNN.
GAN
Generative Adversarial Network.
Diffusion Model
Model that creates data by reversing a noise process.
Stable Diffusion
Popular text-to-image diffusion model.
ChatGPT
OpenAI's conversational AI model.
Claude
Anthropic's AI assistant.
Gemini
Google's multimodal AI model.
LLaMA
Meta's large language model.
Embedding
Numerical representation of text in vector space.
Token
Unit of text processed by LLMs.
Context Window
Amount of text an LLM can consider at once.
Temperature
Parameter controlling randomness in LLM outputs.
F1 Score
Metric balancing precision and recall.
Precision
Accuracy of positive predictions.
Recall
Ability to find all positive instances.
Confusion Matrix
Table evaluating classification performance.
ROC Curve
Plot of true positive rate vs false positive rate.
Gradient Descent
Optimization algorithm to minimize loss.
Overfitting
Model learns training data too well.
Dropout
Regularization technique that randomly drops neurons.
ReLU
Rectified Linear Unit activation function.
Softmax
Activation function for multi-class classification.
Backpropagation
Algorithm for training neural networks.
YOLO
You Only Look Once, real-time object detection.
OCR
Optical Character Recognition.
Speech Recognition
Converting speech to text.
TTS
Text-to-Speech.
Sentiment Analysis
Determining emotional tone of text.
NER
Named Entity Recognition.
Machine Translation
Automatic translation between languages.
Recommendation System
Suggesting items to users.
Anomaly Detection
Identifying unusual patterns.
Fraud Detection
Identifying fraudulent activities.
Decision Tree
Tree-based model for classification and regression.
Random Forest
Ensemble of decision trees.
XGBoost
Optimized gradient boosting library.
SVM
Support Vector Machine.
KNN
K-Nearest Neighbors.
Naive Bayes
Probabilistic classifier.
Logistic Regression
Linear model for binary classification.
Linear Regression
Linear model for regression.
PCA
Principal Component Analysis.
SVD
Singular Value Decomposition.
Bayes' Theorem
Theorem describing conditional probability.
Monte Carlo
Algorithms using random sampling.
MCMC
Markov Chain Monte Carlo.
Entropy
Measure of uncertainty.
A/B Testing
Comparing two versions.
Q-Learning
Model-free RL algorithm.
DQN
Deep Q-Network.
PPO
Proximal Policy Optimization.
AlphaGo
First AI to defeat world champion in Go.
SLAM
Simultaneous Localization and Mapping.
Ethical AI
AI focused on fairness and accountability.
AI Bias
Systematic errors leading to unfair outcomes.
Fairness
Ensuring AI doesn't discriminate.
Explainability
Explaining how AI models make decisions.
Federated Learning
Training without centralizing data.
Adversarial Attack
Input designed to fool AI models.
Edge AI
Running AI on edge devices.
TinyML
Machine learning on microcontrollers.
GPU
Graphics Processing Unit for AI training.
TPU
Tensor Processing Unit by Google.
MLOps
Machine Learning Operations.
TensorFlow
Google's ML framework.
PyTorch
Meta's ML framework.
Keras
High-level API for TensorFlow.
Scikit-learn
ML library for Python.
Pandas
Data manipulation in Python.
NumPy
Numerical computing in Python.
Jupyter
Interactive notebooks.
Google Colab
Cloud-based Jupyter notebooks.
Kaggle
Platform for data science competitions.
Hugging Face
Platform for AI models and datasets.
OpenAI
AI research organization.
DeepMind
AI research company (Google).
Anthropic
AI safety company.
GitHub Copilot
AI pair programmer.