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Reinforcement Learning from Human Feedback improves Large Language Models alignment with human intentions. SELM optimizes reward models for diverse responses, enhancing exploration efficiency and model performance.
https://arxiv.org/abs//2405.19332
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
By Igor Melnyk5
33 ratings
Reinforcement Learning from Human Feedback improves Large Language Models alignment with human intentions. SELM optimizes reward models for diverse responses, enhancing exploration efficiency and model performance.
https://arxiv.org/abs//2405.19332
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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