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.
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.
AI systems designed to generate creative content, such as art, music, and literature.
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results.
A type of artificial intelligence capable of generating new content, such as text, images, and music, by learning from existing data.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text.
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
A phenomenon where information is better remembered if it is generated from one's own mind rather than simply read.
The process of creating awareness and demand for a product or service through marketing activities.