Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...
Brown University researchers found that humans and AI integrate two types of learning – fast, flexible learning and slower, incremental learning – in surprisingly similar ways. The study revealed ...
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