Leverage Learning
Leverage learning suggests that it is possible to strategically use minimal task-specific data to enhance task-specific capabilities, while non-specific capabilities can be learned from more general data.
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.
관련 논문에서 소개한 기법입니다. 이 태스크에서의 평가 여부는 평가 결과에서 확인하세요.
Leverage learning suggests that it is possible to strategically use minimal task-specific data to enhance task-specific capabilities, while non-specific capabilities can be learned from more general data.
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.