Every single algorithm aims to reduce the quantity of deviation concerning the connections it learns to approximate and the real connections in its instruction data.The framework they designed, facts contrastive learning (I-Con), shows how a range of algorithms could be viewed through the lens of this unifying equation. It involves all the things f