Looking Inward: Language Models Can Learn About Themselves by Introspection
from Arxiv Papers Hosted by Igor Melnyk
The paper explores whether large language models (LLMs) can introspect, finding that finetuned models can predict their own behavior, suggesting a form of internal knowledge access. https://arxiv.org/abs//2410.13787 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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This episode was published on October 19, 2024.
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