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Reinforced Self-Training (ReST) is a simple algorithm that aligns large language models (LLMs) with human preferences using reinforcement learning from human feedback (RLHF). It improves translation quality efficiently and effectively.
https://arxiv.org/abs//2308.08998
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
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
Reinforced Self-Training (ReST) is a simple algorithm that aligns large language models (LLMs) with human preferences using reinforcement learning from human feedback (RLHF). It improves translation quality efficiently and effectively.
https://arxiv.org/abs//2308.08998
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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