Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
NLP
task-oriented-dialogue-systems
Systems designed to manage specific tasks through natural language conversation.
Inference
Temperature
Temperature scales how randomly a model samples the next token: lower is more deterministic, higher explores more.
Deep Learning
temporal-convolutional-network
A type of neural network designed for sequence modeling using convolutional layers.
Models
Text-to-image
Text-to-image models generate pictures from a text prompt, sometimes with negative prompts, seeds, and reference images.
Models
Text-to-video
Text-to-video models generate moving clips from text, and sometimes from images, keyframes, or prior video.
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.
Models
Time-series foundation model
A time-series foundation model is pretrained on many series so it can forecast new series with little or no task-specific training.
Inference
Token
A token is the subword or symbol unit a model reads and writes; context limits, pricing, and latency are counted 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.
Inference
Top-k
Top-k sampling restricts next-token choice to the k highest-probability tokens before sampling.
Inference
Top-p
Top-p, or nucleus sampling, draws the next token from 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.
Deep Learning
Transformer
A transformer is a neural architecture that uses attention to relate tokens in a sequence; most frontier LLMs are transformers.
Models
TTS
TTS, text-to-speech, synthesizes spoken audio from text, sometimes with voice cloning or style controls.