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Reinforcement Learning from Human Feedback - a technique to align AI models with human preferences.
A technique in neural networks that allows models to focus on relevant parts of the input when producing output.
Numerical representations of data in high-dimensional space that capture semantic meaning and relationships.
An approach developed by Anthropic for training AI systems using a set of principles or constitution.
The process of taking a pre-trained model and adapting it for a specific task or domain.
The practice of designing and optimizing prompts to effectively communicate with AI models.