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.
A professional responsible for overseeing the planning and execution of a product launch, ensuring alignment with strategic goals and successful market entry.
The study of social relationships, structures, and processes.
The study of how people acquire knowledge, skills, and behaviors through experience, practice, and instruction.
The study of psychology as it relates to the economic decision-making processes of individuals and institutions.
The process of testing product ideas and assumptions with real customers to ensure they meet market needs.
A decision-making rule where individuals choose the option with the highest perceived value based on the first good reason that comes to mind, ignoring other information.
A type of testing conducted to determine if the requirements of a specification are met, often the final step before delivery to the customer.
Product Requirements is a document that outlines the essential features, functionalities, and constraints of a product.