[QA] LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models

from Arxiv Papers · host Igor Melnyk

This paper introduces LLM Surgery, a framework for efficiently modifying large language models to unlearn outdated information and integrate new knowledge without complete retraining, demonstrating significant performance improvements. https://arxiv.org/abs//2409.13054 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

Episode metadata supplied by the publisher feed · Published Sep 23, 2024

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[QA] LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models

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