Washington, March 11 (QNA) - Google has introduced a groundbreaking AI framework called "Social Learning" aimed at enhancing the collaborative capabilities of language models without compromising user privacy.

This framework allows AI models to learn from each other through natural language interactions, enabling them to share knowledge and improve performance on various tasks.

Through the Social Learning framework, teacher models can impart knowledge to student models without directly sharing sensitive or private data, ensuring privacy protection while facilitating effective learning.

In this framework, student models learn from multiple teacher models, each proficient in specific tasks, such as spam detection, solving math problems, or answering questions based on text.

By leveraging human-labeled examples, teacher models can teach students without the need to exchange original data, addressing privacy concerns associated with data sharing. Additionally, teacher models can synthesize new examples or generate instructions for tasks, further enhancing the learning process.

Experiments have demonstrated the efficacy of social learning in improving the performance of student models across various tasks.

(QNA)