RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
468 topics found for
“user behavior”
Product Disruptor
A product that significantly changes the market or industry by introducing innovative features or a new business model.
Extension Neglect
A cognitive bias where people ignore the relevance of sample size in making judgments, often leading to erroneous conclusions.
Keyword Mapping
The process of assigning target keywords to specific pages on a website to optimize each page for relevant search terms and improve overall SEO strategy.
Response Bias
A tendency for respondents to answer questions in a manner that is not truthful or accurate, often influenced by social desirability or survey design.
Acceptance Criteria
Specific conditions that must be met for a product or feature to be considered complete and satisfactory.
Data Distribution
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
B2C
Business-to-Consumer (B2C), a business model where products or services are sold directly to individual consumers.
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.