Continuous Reinforcement
A schedule of reinforcement where a desired behavior is reinforced every time it occurs, promoting quick learning and behavior maintenance.
A schedule of reinforcement where a desired behavior is reinforced every time it occurs, promoting quick learning and behavior maintenance.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
The use of biological data (e.g., fingerprints, facial recognition) for user authentication and interaction with digital systems.
Artificially generated data that mimics real data, used for training machine learning models.
A quick and often temporary fix applied to a software product to address an urgent issue without going through the full development cycle.
Application Release Automation (ARA) is the process of automating the release of applications, ensuring consistency and reducing errors.
Voice User Interface (VUI) is a system that allows users to interact with a device or software using voice commands.
Internet of Things (IoT) refers to a network of interconnected physical devices embedded with electronics, software, sensors, and network connectivity, enabling them to collect and exchange data.
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results.