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Human Alignment of Large Language Models through Online Preference Optimisation
The paper explores alignment methods for language models, showing equivalence between Identity Policy Optimisation and Nash Mirror Descent, and introducing IPO-MD for improved performance.
https://arxiv.org/abs//2403.08635
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
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By Igor Melnyk
5
33 ratings
The paper explores alignment methods for language models, showing equivalence between Identity Policy Optimisation and Nash Mirror Descent, and introducing IPO-MD for improved performance.
https://arxiv.org/abs//2403.08635
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
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