Sign up to save your podcasts
Or
Share [QA] Bootstrapping Language Models with DPO Implicit Rewards
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
[QA] Bootstrapping Language Models with DPO Implicit Rewards
The paper introduces DICE, a method for aligning large language models using implicit rewards from DPO. DICE outperforms Gemini Pro on AlpacaEval 2 with 8B parameters and no external feedback.
https://arxiv.org/abs//2406.09760
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
View all episodes
By Igor Melnyk
5
33 ratings
The paper introduces DICE, a method for aligning large language models using implicit rewards from DPO. DICE outperforms Gemini Pro on AlpacaEval 2 with 8B parameters and no external feedback.
https://arxiv.org/abs//2406.09760
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
More shows like Arxiv Papers
View all
Exchanges
955 Listeners
Odd Lots
1,933 Listeners
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
437 Listeners
The Daily
112,032 Listeners
All-In with Chamath, Jason, Sacks & Friedberg
9,955 Listeners
Hard Fork
5,506 Listeners
UnHerd with Freddie Sayers
212 Listeners
Unsupervised Learning with Jacob Effron
49 Listeners
Latent Space: The AI Engineer Podcast
91 Listeners
BG2Pod with Brad Gerstner and Bill Gurley
472 Listeners