Large language models are high-capacity neural sequence models trained on massive text and multimodal corpora to perform language understanding, generation, and reasoning. Current work examines their internal representations, cognitive and social behavior analogies to humans, and limitations in mathematical, causal, and strategic reasoning. Research also addresses alignment with human values and brain activity, safety and security vulnerabilities, privacy and de-anonymization risks, cross-lingual and sociocultural biases, scaling and efficiency laws, and frameworks for tool use, multi-agent interaction, and domain-specific deployment.
Machine learning & AI
Since ChatGPT burst onto the scene in late 2022, generative artificial intelligence (GenAI) models have been vying for the lead—with the US and China hotbeds for the technology.
Mar 13, 2025
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Machine learning & AI
The computer scientists Rich Sutton and Andrew Barto have been recognized for a long track record of influential ideas with this year's Turing Award, the most prestigious in the field. Sutton's 2019 essay The Bitter Lesson, ...
Mar 10, 2025
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