AI Glossary
The definitive dictionary for AI, Machine Learning, and Governance terminology. From Flash Attention to RAG — look up any term.
V
Validation Data
A subset of data used during training to tune hyperparameters and monitor model performance without touching the test set. It acts as an intermediate checkpoint between training and final evaluation.
Vanishing Gradient Problem
A training difficulty in deep networks where gradients become exponentially smaller as they are propagated back through many layers, making it nearly impossible for early layers to learn.
Variational Autoencoder
A generative model that learns a compressed, lower-dimensional representation (latent space) of input data and can generate new data by sampling from this learned space.
Vector Database
A specialized database designed to store, index, and search high-dimensional vector embeddings efficiently. It enables fast similarity searches across millions or billions of vectors.
Vector Search
The process of finding the most similar vectors in a vector database to a given query vector. It enables retrieving semantically similar content at scale.
Vision-Language Model
An AI model that can process both visual and textual inputs, understanding images and generating text about them. VLMs combine computer vision with language understanding.
Voice Cloning
AI technology that creates a synthetic replica of a specific person's voice from a small sample of their speech. Cloned voices can speak any text in the original person's vocal characteristics.