
Contextual AI with Amanpreet Singh - Weaviate Podcast #114!
Weaviate Podcast
Optimizing AI Through Preferences and Data
This chapter explores preference optimizations in AI, focusing on anchor preference optimization and the significance of real-world data in enhancing reward models. It emphasizes the dual methodologies for data utilization, involving direct customer interactions and user feedback for continuous refinement. Additionally, it discusses the interplay between human involvement and machine learning, highlighting mechanistic interpretability and the intricacies of search ranking systems.
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