Fine-tuning and Preference Alignment in a Single Streamlined Process

from The Data Exchange with Ben Lorica · host Ben Lorica

Jiwoo Hong and Noah Lee of KAIST AI are co-authors of ORPO: Monolithic Preference Optimization without Reference Model. Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon • RSS.Detailed show notes can be found on The Data Exchange web site.

What this episode covers

Jiwoo Hong and Noah Lee of KAIST AI are co-authors of ORPO: Monolithic Preference Optimization without Reference Model. Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/ Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon • RSS. Detailed show notes can be found on The Data Exchange web site.

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Fine-tuning and Preference Alignment in a Single Streamlined Process

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This episode is 35 minutes long.

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This episode was published on June 13, 2024.

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