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Graph of Thoughts: Solving Elaborate Problems with Large Language Models
The paper introduces Graph of Thoughts (GoT), a framework that enhances prompting capabilities in large language models by modeling information as a graph. GoT offers advantages over existing paradigms and can be extended for new prompting schemes.
https://arxiv.org/abs//2308.09687
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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By Igor Melnyk
5
33 ratings
The paper introduces Graph of Thoughts (GoT), a framework that enhances prompting capabilities in large language models by modeling information as a graph. GoT offers advantages over existing paradigms and can be extended for new prompting schemes.
https://arxiv.org/abs//2308.09687
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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