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Large language models use a surprisingly simple mechanism to retrieve some stored knowledge

Researchers find large language models use a simple mechanism to retrieve stored knowledge when they respond to a user prompt. These mechanisms can be leveraged to see what the model knows about different subjects and possibly to correct false information it has stored. ....

United States , City Of , United Kingdom , Miles Davis , Mor Geva Pipek , Bill Bradley , Nevan Hernandez , Arnab Sharma , Jacob Andreas , David Bau , International Conference On Learning Representations , Harvard University , Artificial Intelligence Laboratory , Northeastern University , Azrieli Foundation Early Career Faculty Fellowship , Israeli Science Foundation , Israeli Institute Of Technology , Computer Science , Israeli Institute , International Conference , Tel Aviv University , Open Philanthropy , Azrieli Foundation Early Career Faculty , Jacob Andreas , Large Language Models , Ai Interpretability ,

The Paradox Of Predicting AI: Unpredictability Is A Measure Of Intelligence

“Unpredictability may be something we look for in intelligence, and if so, then by definition, a true intelligence will be unpredictable and therefore uninterpretable,” says Toyama. ....

United States , Kentaro Toyama , Colby College Davis Institute , Amanda Stent , Colby College , Davis Institute , Liberal Arts , Colby Institute For Ai , Ai Interpretability , Ai Explainability ,