RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
88 topics found for
“learning dynamics”
Adaptive AI
AI systems that can dynamically adjust their behavior based on new data or changes in the environment.
Retroactive Interference
A phenomenon where new information interferes with the ability to recall previously learned information, affecting memory retention.
Guild
A broader, more informal community of interest that spans across the entire organization, focusing on shared topics such as agile practices or UX design.
Continuous Learning
An ongoing process of learning and development that enables individuals and organizations to adapt to changing environments and requirements.
ModelOps
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
Growth Mindset
The belief that abilities and intelligence can be developed through dedication and hard work.
Component Swapping
Replacing one UI component with another, often used in adaptive or dynamic interfaces.
Reflexion
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback.