Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Machine Learning
support-vector-regression
An extension of support vector machines that predicts continuous values instead of categories.
Artificial Intelligence
swarm intelligence
Swarm intelligence is the collective behavior of decentralized systems typically seen in nature.
Inference
synthetic data
synthetic data is a core generative-AI concept used across modeling, product, and governance discussions.
Data Science
synthetic-data-generation
The process of creating artificial data that mimics real-world data for training machine learning models.
Product
system card
system card is a core generative-AI concept used across modeling, product, and governance discussions.
Product
system prompt
system prompt is a core generative-AI concept used across modeling, product, and governance discussions.
NLP
task-oriented-dialogue-systems
Systems designed to manage specific tasks through natural language conversation.
Safety
temperature
Temperature scales randomness in sampling: lower values are more deterministic; higher values explore more.
Deep Learning
temporal-convolutional-network
A type of neural network designed for sequence modeling using convolutional layers.
Product
text-to-image
text-to-image is a core generative-AI concept used across modeling, product, and governance discussions.
Safety
text-to-video
text-to-video is a core generative-AI concept used across modeling, product, and governance discussions.
Data Analysis
Time Series Analysis
A method used to analyze time-ordered data points to extract meaningful statistics and characteristics.
Data Analysis
Time Series Forecasting
The process of predicting future values based on previously observed values in a time-ordered series.
Training
token
A token is the smallest unit a model consumes or generates; pricing and context limits are expressed in tokens.
Natural Language Processing
Tokenization
The process of converting text into smaller pieces, called tokens.
Training
tool calling
tool calling is a core generative-AI concept used across modeling, product, and governance discussions.
Training
top-k
Top-k sampling restricts each step to the k highest-probability tokens.
Data
top-p
Top-p (nucleus) sampling keeps the smallest set of tokens whose cumulative probability exceeds p.
Control Systems
Transfer Function
A mathematical representation of the relationship between input and output of a system.
Learning Techniques
Transfer Learning
A machine learning technique where a model developed for one task is reused for a different but related task.
Product
transformer
A transformer is an architecture built from attention layers; most frontier LLMs are decoder-only or encoder–decoder transformers.
Deep Learning
transformer-architecture
A neural network architecture designed for sequence-to-sequence tasks.
Product
tree-of-thoughts
tree-of-thoughts is a core generative-AI concept used across modeling, product, and governance discussions.
Training
TTS
TTS is a core generative-AI concept used across modeling, product, and governance discussions.