Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
Evaluation
Confusion Matrix
A table used to evaluate the performance of a classification algorithm.
Development
Context engineering
Context engineering is the practice of designing what information, tools, memory, and instructions are supplied to a model at runtime.
Inference
Context window
A context window is the maximum number of tokens a model can consider at once, including instructions, history, tools, and output.
Machine Learning
contextual-bandits
A form of machine learning that balances exploration and exploitation in dynamic environments.
Neural Networks
Convolutional Neural Network (CNN)
A type of deep learning model primarily used for processing grid-like data such as images.
neural-networks
convolutional-encoder
A neural network component that applies convolutional operations to extract features from input data.
neural-networks
convolutional-layer
A layer in a neural network that applies convolution operations to extract features from input data.
Machine Learning
Cross-Entropy Loss
A loss function commonly used in classification tasks to measure the difference between predicted and actual distributions.
Model Evaluation
Cross-Validation
A technique used to assess the performance of a model on unseen data.
Security
cybersecurity
The practice of protecting systems and networks from digital attacks.
Data Processing
Data Annotation
The process of labeling data for training machine learning models.
Data Processing
Data augmentation
Data augmentation creates extra training examples by transforming existing data, such as crops, paraphrases, or audio noise.
Data Preparation
Data Cleaning
The process of identifying and correcting errors or inconsistencies in data to improve its quality.
Model Maintenance
Data Drift
Changes in data distribution that can impact model performance over time.
Data Management
Data Governance
Frameworks and policies for managing data integrity and usage.
Data Preprocessing
Data Imbalance
A situation in which classes in a dataset are not represented equally.
Data Preprocessing
Data Imputation
The process of replacing missing data with substituted values.
Data Management
Data Lake
A centralized repository that stores large volumes of raw data in its native format.
Data Management
Data Lineage
The tracking of data movement and transformation throughout its lifecycle.
Data Preparation
Data Normalization
The process of scaling individual data points to a common scale, often to improve the performance of machine learning models.
Data Management
Data Pipeline
A series of data processing steps that involve the collection, processing, and storage of data.
Data Preparation
Data Preprocessing
The steps taken to clean and prepare raw data for analysis and modeling.
AI Ethics
Data Privacy
The protection of personal data from unauthorized access and misuse.
Data Governance
Data Sovereignty
The concept that data is subject to the laws and governance structures within the nation it is collected.