Data Glossary Lab

A Data Consumer is an individual or department that uses the data insights, reports, and dashboards provided by data professionals to make informed business decisions.

A Database is a structured storage space where data is organized into many different tables in a way that allows necessary information to be easily accessed, managed, and summarized.

A Generative Adversarial Network (GAN) is a class of machine learning frameworks designed to generate new, synthetic data that is indistinguishable from real data.

CLIP is the "connective tissue" of modern multimodal AI, a model developed by OpenAI that bridges the gap between vision and language.

A diffusion model is a class of generative AI designed to create high-fidelity data, most famously images, by learning to reverse a process of structured destruction.

Word embeddings are the multi-dimensional "coordinate system" of AI, representing a leap from simple word-counting to true semantic understanding.

A transformer is the revolutionary neural network architecture that serves as the engine for modern Large Language Models (LLMs) like GPT-4, Claude, and Gemini.

Evaluation Metrics are a collection of statistical measurements used to estimate the performance and quality of a statistical or machine learning model. While training a model is about learning patterns, evaluation is about objective validation.

Data Enrichment is the process of enhancing, refining, and augmenting raw, internal data with additional information from external sources.