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.
Optimization
meta-heuristics
A class of optimization algorithms that use iterative processes to find solutions.
Machine Learning
Meta-Learning
Learning to learn, where models improve their learning strategies over time.
Model Architecture
Mixture of experts
A mixture-of-experts model routes each token through a subset of specialized networks instead of activating every parameter.
Machine Learning
modalities
Different forms or types of data used in machine learning, such as text, images, or audio.
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 Generalization
The ability of a machine learning model to perform well on unseen data.
Ethics
Model Interpretability
The degree to which a human can understand the cause of a decision made by a model.
Machine Learning
Model Regularization
A technique used to prevent overfitting by adding a penalty for larger coefficients in a model.
Machine Learning
Model Training
The process of teaching a machine learning model to make predictions based on data.
Model Evaluation
Model Validation
The process of evaluating the performance of a model using unseen data.
Machine Learning
model-complexity
A measure of the capacity of a machine learning model to fit a wide variety of functions.
optimization
model-compression
Techniques for reducing the size and complexity of machine learning models while maintaining performance.
Model Deployment
model-monitoring
The ongoing evaluation of a model's performance in a production environment.
modeling
model-trained
The process of training a machine learning model using data.
learning methodology
multi-agent-learning
A framework where multiple agents learn and adapt through interaction with each other and the environment.
Artificial Intelligence
multi-agent-systems
Systems composed of multiple interacting intelligent agents.
Machine Learning
Multi-Label Classification
A type of classification where multiple labels can be assigned to a single instance.
machine-learning
multi-task-learning
An approach in machine learning where multiple tasks are learned simultaneously, sharing representations.
Models
Multimodal AI
Multimodal AI works with more than one data modality, such as text, images, audio, video, documents, or structured data.