Prompt Chaining
A method in natural language processing where multiple prompts are linked to generate more complex and contextually accurate responses.
A method in natural language processing where multiple prompts are linked to generate more complex and contextually accurate responses.
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.
Responsive Web Design (RWD) is an approach to web design that makes web pages render well on a variety of devices and window or screen sizes.
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.
The process of designing and refining prompts to elicit accurate and relevant responses from AI models.
Knowledge Organization System (KOS) refers to a structured framework for organizing, managing, and retrieving information within a specific domain or across multiple domains.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
Model-View-Controller (MVC) is an architectural pattern that separates an application into three main logical components: the Model (data), the View (user interface), and the Controller (processes that handle input).
A collection of pre-written code and tools that provide a foundation for building the front end of websites and applications, such as Bootstrap or React.