Prompt Chaining
A method in natural language processing where multiple prompts are linked to generate more complex and contextually accurate responses.
25 topics found for
“response accuracy”
Prompt Engineering
The process of designing and refining prompts to elicit accurate and relevant responses from AI models.
Machine Learning Bias
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
Social Desirability Bias
The tendency for individuals to present themselves in a favorable light by overreporting good behavior and underreporting bad behavior in surveys or research.
Courtesy Bias
The tendency for individuals to give positive responses or feedback out of politeness, regardless of their true feelings.
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.
Prompt Defense
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
Grounding
The process of linking language to its real-world context in AI systems, ensuring accurate understanding and interpretation.
RAG
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.