RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
Web Accessibility Initiative (WAI) is a program developed by W3C to improve web accessibility.
A principle that suggests the simplest explanation is often the correct one, favoring solutions that make the fewest assumptions.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
The study of the relationships between people, practices, values, and technologies within an information environment.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
An agile methodology that separates product discovery and product delivery into parallel tracks to ensure continuous learning and delivery.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human.