Prompt Defense
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
An experimental design where subjects are paired based on certain characteristics, and then one is assigned to the treatment and the other to the control group.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.
The process of testing product ideas and assumptions with real customers to ensure they meet market needs.
The extent to which a measure represents all facets of a given construct, ensuring the content covers all relevant aspects.
Proof of Concept (PoC) is a demonstration, usually in the form of a prototype or pilot project, to verify that a concept or theory has practical potential.
Model-Based Systems Engineering (MBSE) is a methodology that uses visual modeling to support system requirements, design, analysis, and validation activities throughout the development lifecycle.
A writing and design principle that suggests that things grouped in threes are more satisfying, effective, and memorable for audiences.
A research method in which participants interact with a series of potential product concepts in quick succession, providing rapid feedback on multiple ideas.