Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
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.
Reinforcement Learning
unsupervised-reinforcement-learning
A learning paradigm where agents learn optimal behaviors through exploration without labeled feedback.
Safety
user prompt
user prompt is a core generative-AI concept used across modeling, product, and governance discussions.
Model Evaluation
Variance
Variance measures a model's sensitivity to fluctuations in the training data, contributing to overfitting when high.
Generative Models
variational-autoencoder
A generative model that learns to represent data in a latent space using variational inference.
Safety
vector
A vector is a fixed-length array of numbers; embeddings represent meaning as vectors for search and clustering.
Data
Vector database
A database or engine optimized for similarity search over embedding vectors, typically with metadata filters and hybrid lexical+vector queries for production RAG.
Training
vision transformer
vision transformer is a core generative-AI concept used across modeling, product, and governance discussions.
Data Analysis
visualization-tools
Software applications used to create graphical representations of data.
Inference
wav2vec
wav2vec is a core generative-AI concept used across modeling, product, and governance discussions.
Product
whisper
whisper is a core generative-AI concept used across modeling, product, and governance discussions.
data measurement
yottabyte
A unit of digital information equal to one septillion bytes, or 1,024 zettabytes.
Machine Learning
Zero-shot Learning
A machine learning approach where the model predicts classes that it has not seen during training.