Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
Machine Learning
Machine Learning
A subset of AI that enables systems to learn from data and improve over time.
Agents
MCP server
An MCP server exposes tools, data sources, prompts, or workflows to AI clients through the Model Context Protocol.
Agents
Model Context Protocol
Model Context Protocol, or MCP, is a standard interface for connecting AI applications to external tools, data sources, and context providers.
Machine Learning Operations
Model Deployment
The process of making a trained machine learning model available for use in a production environment.
Model Assessment
Model Evaluation
The process of assessing a trained model's performance using various metrics.
Machine Learning
Model Training
The process of teaching a machine learning model to make predictions based on data.
optimization
model-compression
Techniques for reducing the size and complexity of machine learning models while maintaining performance.
modeling
model-trained
The process of training a machine learning model using data.
Models
Multimodal AI
Multimodal AI works with more than one data modality, such as text, images, audio, video, documents, or structured data.
Artificial Intelligence
Natural Language Processing (NLP)
The field of AI that focuses on the interaction between computers and human language.
Machine Learning
Neural Network
A computational model inspired by the way biological neural networks in the human brain work.
information-theory
noisy-channel-coding
A method for encoding data to protect against errors during transmission over noisy channels.
data-quality
noisy-labels
Labels in a dataset that are inaccurate or wrong, often leading to misguidance in model training.
machine learning
one-shot-learning
A machine learning approach that enables a model to learn information about object categories from a single training example.
Knowledge Representation
ontology
An ontology is a formal representation of a set of concepts within a domain.
Security
OpenAI Daybreak
OpenAI Daybreak is a vetted access program that gives authorized cybersecurity defenders controlled use of frontier models—and, in Daybreak Red, purpose-trained cyber models such as GPT-5.6-Cyber.
machine learning
out-of-distribution-generalization
The ability of a model to perform well on unseen data that is different from the training set.
Modeling
Overfitting
A modeling error that occurs when a model learns noise and details from the training data.
Safety
Prompt injection
Prompt injection is an attack or failure mode where untrusted text tries to override system instructions or steer a model into unsafe behavior.
Quantum Physics
quantum-entanglement
A physical phenomenon occurring when pairs or groups of particles interact in such a way that the quantum state of each particle cannot be described independently.
Disaster Recovery
recovery-point-objective
A metric that defines the maximum acceptable amount of data loss measured in time for a system after a failure.
Training
RLHF
RLHF, reinforcement learning from human feedback, trains a model to prefer outputs that raters rank higher, usually via a reward model.
Model Evaluation
Robustness
The ability of a model to maintain performance despite variations in input data or conditions.
reinforcement-learning
safe-exploration
A strategy in reinforcement learning that aims to balance exploration and exploitation while minimizing risks.