RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
283 topics found for
“behavioral insights”
User Centered Design
An iterative design process that focuses on the users and their needs at every phase of the design process.
User Story
A simple description of a feature from the perspective of the user, typically used in Agile development to capture requirements and guide development.
Usability
The degree to which a product or system can be used by specified users to achieve specified goals with effectiveness, efficiency, and satisfaction in a specified context of use.
MoT
Moment of Truth (MoT) refers to any instance where a customer interacts with a brand, product, or service in a way that leaves a significant impression.
Mindshare
The level of awareness or popularity a product or brand has among consumers.
Repeated Measures Design
A research design where the same participants are used in all conditions of an experiment, allowing for the comparison of different conditions within the same group.
Peak End Rule
A cognitive bias where people judge an experience largely based on how they felt at its peak (most intense point) and its end, rather than the total sum of the experience.
Pattern Recognition
The ability to identify and interpret patterns in data, often used in machine learning and cognitive psychology.