Large Language Models: How AI Learns Language
Understanding the architecture behind GPT and how neural networks learn to understand and generate human language.
Mathematics, artificial intelligence, and information systems. Intelligence, decoupled from biology—exploring learning systems, robotics, and AI safety.
Understanding the architecture behind GPT and how neural networks learn to understand and generate human language.
How neural networks with many layers learn hierarchical representations of data, from edges to concepts.
From group theory to topology, exploring how mathematics provides the framework for understanding patterns across all sciences.
The challenge of ensuring AI systems behave in ways that align with human intentions and societal values.
How AI systems are learning to interact with physical environments through robotics and embodied intelligence.
How quantum bits and superposition promise to revolutionize computation for certain classes of problems.