RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
485 topics found for
“behavior design”
Customer Journey
The complete set of experiences that customers go through when interacting with a company, from initial contact to post-purchase.
Product Engagement Score
A metric that measures how engaged users are with a product, often based on usage frequency, feature adoption, and user feedback.
Long-Tail Keywords
Specific and less common keyword phrases that visitors are more likely to use when they are closer to making a purchase or when using voice search.
Multiple Regression
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
Chivas Regal Effect
The phenomenon where higher-priced products are perceived to be of higher quality, regardless of the actual quality.
Turnover Rate
The rate at which employees leave a company and are replaced by new hires, often used as a measure of organizational health and stability.
Soak Testing
A performance testing method that evaluates the system's behavior and stability over an extended period under a high load.
Train/Test
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.