Turing Test
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human.
312 topics found for
“machine learning”
Machine Learning Bias
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
BML
Build-Measure-Learn (BML) is a feedback loop used in Lean Startup methodology where a product is built, its performance is measured, and learnings are used to make improvements.
Augmented Intelligence
A design pattern that combines human and machine intelligence to enhance decision-making and problem-solving.
Reflexion
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback.
Generative Modeling
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
CBR
Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems.
Transformer
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
Cross Validation
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.