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State in the US where Anthropic is headquartered
AI models trained on vast amounts of text data that can understand and generate human-like text.
A subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed.
Research and practices aimed at ensuring AI systems are safe, beneficial, and aligned with human values.
The delivery of computing services over the internet, including servers, storage, databases, networking, and software.
Reinforcement Learning from Human Feedback - a technique to align AI models with human preferences.
A region in Northern California that serves as a global center for high technology and innovation.
A technique in neural networks that allows models to focus on relevant parts of the input when producing output.
An AI framework that enhances LLMs by retrieving relevant information from external knowledge bases before generating responses.
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.
A set of practices that combines software development and IT operations to shorten the development lifecycle.
The process of taking a pre-trained model and adapting it for a specific task or domain.
A major tech hub in Washington state, home to Microsoft, Amazon, and many AI startups.
The practice of designing and optimizing prompts to effectively communicate with AI models.
A major European tech hub and home to DeepMind and numerous AI research institutions.
A growing tech and AI hub with major financial technology and media applications.