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2min chapter
Fine-tuning and Preference Alignment in a Single Streamlined Process
The Data Exchange with Ben Lorica
Intro
Ji-Woo Hong and Noah Lee from Kaist AI discuss their paper on ORPO, explaining how it combines supervised fine-tuning and preference alignment to streamline learning processes for building AI applications in industry.
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