Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Data Preparation
Labeling
The process of assigning a specific tag or category to data.
Product
latent space
latent space is a core generative-AI concept used across modeling, product, and governance discussions.
Statistical Models
Latent Variable Model
A statistical model that assumes the existence of unobserved variables that influence observed data.
Training
leaderboard
leaderboard is a core generative-AI concept used across modeling, product, and governance discussions.
Model Training
Learning Rate
The learning rate is a hyperparameter that controls how much to change the model weights in response to the estimated error each time the model weights are updated.
Inference
logit
A logit is an unnormalized score for a vocabulary item before softmax turns it into a probability.
Training
long context
long context is a core generative-AI concept used across modeling, product, and governance discussions.
Training
LoRA
LoRA is a core generative-AI concept used across modeling, product, and governance discussions.
Safety
LoRA for diffusion
LoRA for diffusion is a core generative-AI concept used across modeling, product, and governance discussions.
Evaluation Metrics
Loss Function
A method of evaluating how well a specific algorithm models the given data.