Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
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.
Artificial Intelligence
Natural Language Processing (NLP)
The field of AI that focuses on the interaction between computers and human language.
Natural Language Processing
Natural Language Understanding
A subfield of natural language processing focusing on machine comprehension of human language.
Natural Language Processing
natural-language-generation
The use of algorithms to produce human-like text based on given data or prompts.
Deep Learning
Neural Architecture Search
An automated process for designing neural network architectures optimized for specific tasks.
Machine Learning
Neural Network
A computational model inspired by the way biological neural networks in the human brain work.
hybrid AI
neural-symbolic-integration
A hybrid approach that combines neural networks with symbolic reasoning.
Biotechnology
Neurotechnology
Technologies designed to understand, interface with, or manipulate the nervous system.
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.
Models and Deployment
Open weights
Open weights are downloadable model parameters you may run, inspect, or fine-tune only to the extent the license allows.
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.