Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Safety
ReAct
ReAct is a core generative-AI concept used across modeling, product, and governance discussions.
Disaster Recovery
recovery-point-objective
A metric that defines the maximum acceptable amount of data loss measured in time for a system after a failure.
Product
reward model
reward model is a core generative-AI concept used across modeling, product, and governance discussions.
Model Evaluation
Robustness
The ability of a model to maintain performance despite variations in input data or conditions.
Product
rotary positional encoding
rotary positional encoding is a core generative-AI concept used across modeling, product, and governance discussions.
reinforcement-learning
safe-exploration
A strategy in reinforcement learning that aims to balance exploration and exploitation while minimizing risks.
Inference
safety classifier
safety classifier is a core generative-AI concept used across modeling, product, and governance discussions.
Data
scaled dot-product attention
scaled dot-product attention is a core generative-AI concept used across modeling, product, and governance discussions.
Data
self-consistency
self-consistency is a core generative-AI concept used across modeling, product, and governance discussions.
Machine Learning
semi-supervised-learning
A learning approach that combines labeled and unlabeled data for training models.
Product
sparse activation
sparse activation is a core generative-AI concept used across modeling, product, and governance discussions.
Data
speech-to-text
speech-to-text is a core generative-AI concept used across modeling, product, and governance discussions.
Safety
structured output
structured output is a core generative-AI concept used across modeling, product, and governance discussions.
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.
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.
Training
tool calling
tool calling is a core generative-AI concept used across modeling, product, and governance discussions.
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.
Machine Learning
Unsupervised Learning
A type of machine learning that deals with data that has no labels, aiming to find hidden patterns or intrinsic structures.
Safety
user prompt
user prompt is a core generative-AI concept used across modeling, product, and governance discussions.