Transformer
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
The process of designing and refining prompts to elicit accurate and relevant responses from AI models.
A method in natural language processing where multiple prompts are linked to generate more complex and contextually accurate responses.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
A component in neural networks that allows the model to focus on specific parts of the input, improving performance.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
Artificially generated data that mimics real data, used for training machine learning models.