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.
A method where a document or proposal is limited to one page and created within one hour to ensure clarity and focus.
Providing clear, concise, and relevant navigation options to help users find what they need quickly.
The economic theory that suggests limited availability of a resource increases its value, influencing decision-making and behavior.
A logical fallacy where anecdotal evidence is used to make a broad generalization.
A statistical distribution where most occurrences take place near the mean, and fewer occurrences happen as you move further from the mean, forming a bell curve.
A dark pattern where availability is falsely limited to pressure users into making a purchase.
The act of designing and implementing subtle interventions to influence behavior in a predictable way.
A cognitive bias that limits a person to using an object only in the way it is traditionally used.