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.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input.
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.