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Contrastive Preference Learning and IBM's Brain-Inspired Computer Chip
In this chapter, they discuss the concept of contrastive preference learning as an alternative objective for reinforcement learning from human feedback (RLA-HF) and the development of IBM's Northpol chip, which integrates memory and processing to achieve faster computation and reduced power consumption.