Matched Pairs Design
An experimental design where subjects are paired based on certain characteristics, and then one is assigned to the treatment and the other to the control group.
An experimental design where subjects are paired based on certain characteristics, and then one is assigned to the treatment and the other to the control group.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
The combined efforts of humans and AI systems to achieve better outcomes than either could alone.
A structured framework for product design that stands for Comprehend the situation, Identify the customer, Report customer needs, Cut through prioritization, List solutions, Evaluate trade-offs, and Summarize recommendations.
A cognitive bias where people ignore general statistical information in favor of specific information.
A software development practice where code changes are automatically deployed to production without manual intervention.
An AI model that has been pre-trained on a large dataset and can be fine-tuned for specific tasks.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
A network of real-world entities and their interrelations, organized in a graph structure, used to improve data integration and retrieval.