RAG
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
A metric that shows the revenue that a company can expect to receive annually from its customers for subscriptions or services.
The study of how people acquire knowledge, skills, and behaviors through experience, practice, and instruction.
The use of visual elements to draw attention to important information or guide user actions.
The process of bringing a product from development to market, ensuring it meets quality standards and customer needs.
The tendency to attribute intentional actions to others' behaviors, often overestimating their intent.
A Gestalt principle where elements that are located within the same closed region are perceived as being grouped together.
Crit (Design Critique) is a structured feedback session where designers present their work and receive constructive feedback from peers.