Generative Modeling
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.
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.
A parameter that controls the randomness of AI-generated text, affecting creativity and coherence.
Artificially generated data that mimics real data, used for training machine learning models.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
AI systems designed to generate creative content, such as art, music, and literature.