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[QA] On the creation of narrow AI: hierarchy and nonlocality of neural network skills
This paper explores creating efficient narrow AI systems, addressing challenges in training from scratch and skill transfer from large models, highlighting pruning methods and regularization for improved performance.
https://arxiv.org/abs//2505.15811
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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By Igor Melnyk
5
33 ratings
This paper explores creating efficient narrow AI systems, addressing challenges in training from scratch and skill transfer from large models, highlighting pruning methods and regularization for improved performance.
https://arxiv.org/abs//2505.15811
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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