Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
Statistical Analysis
Causal Inference
A method used to determine cause-and-effect relationships between variables.
Product
Chain of thought
Chain of thought is prompting or training a model to write intermediate reasoning steps before a final answer.
Natural Language Processing
chatbot
A chatbot is a software application designed to simulate conversation with human users.
Retrieval
Citation
A citation in a grounded AI answer is a pointer to a retrieved source ID, not a URL the model invented.
machine-learning
classification
The task of predicting categorical labels based on input data.
Prompt engineering
Claude XML tags
Claude XML tags are XML-style delimiters Anthropic recommends to separate instructions, context, examples, documents, and variables in Claude prompts.
Computing
cloud computing
Cloud computing is the delivery of computing services over the internet.
Cloud Computing
cloud-native
An approach that enables applications to be designed and built for the cloud environment.
Machine Learning
Clustering
A technique used to group similar items based on their characteristics.
Agents
Computer use agent
A computer use agent is an AI agent that can inspect screenshots and control a desktop or browser with mouse and keyboard actions.
Artificial Intelligence
computer-vision
An interdisciplinary field that enables computers to interpret and process visual information from the world.
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.