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.
A tendency for respondents to answer questions in a manner that is not truthful or accurate, often influenced by social desirability or survey design.
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 cognitive bias where people ignore general statistical information in favor of specific information.
The process of identifying unusual patterns or outliers in data that do not conform to expected behavior.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
A set of practices that combines software development (Dev) and IT operations (Ops) to shorten the development lifecycle and deliver high-quality software continuously.
A software development practice where code changes are automatically deployed to production without manual intervention.
The tendency for individuals to present themselves in a favorable light by overreporting good behavior and underreporting bad behavior in surveys or research.
A deployment strategy where a new version is released to a small subset of users to detect any issues before a full rollout.