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Large language models (LLMs) like Llama-2 learn coherent models of data generating processes, as evidenced by their linear representations of space and time across multiple scales, robustness to prompting variations, and identification of "space neurons" and "time neurons".
https://arxiv.org/abs//2310.02207
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
By Igor Melnyk5
33 ratings
Large language models (LLMs) like Llama-2 learn coherent models of data generating processes, as evidenced by their linear representations of space and time across multiple scales, robustness to prompting variations, and identification of "space neurons" and "time neurons".
https://arxiv.org/abs//2310.02207
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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