Semantic Search
A search method that seeks to improve search accuracy by understanding the contextual meaning of terms in a query rather than just matching keywords.
A search method that seeks to improve search accuracy by understanding the contextual meaning of terms in a query rather than just matching keywords.
A method in natural language processing where multiple prompts are linked to generate more complex and contextually accurate responses.
The process of linking language to its real-world context in AI systems, ensuring accurate understanding and interpretation.
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 method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
A research method that involves observing subjects in their natural environment.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input.
Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems.