Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
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.
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.
Agents
Tool calling
Tool calling lets a model request that the application run a defined function, API, or built-in tool, then return the result to the model.
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.