Train/Test
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.
A component in neural networks that allows the model to focus on specific parts of the input, improving performance.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
The process of designing and refining prompts to elicit accurate and relevant responses from AI models.
A metric that shows the revenue that a company can expect to receive annually from its customers for subscriptions or services.
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback.
A statistical technique that uses random sampling and statistical modeling to estimate mathematical functions and simulate systems.