"Learning from Retrieving"

"Learning from retrieving" refers to a method where a system improves its knowledge and performance by actively recalling and applying information during the learning process. Instead of passively absorbing data, the system retrieves relevant information from its memory or external sources, which helps reinforce understanding and identify gaps. This approach mimics how humans learn best—by recalling and using information rather than just reading or listening. It leads to more robust, adaptable models that can better generalize and solve new problems efficiently.