Learning without training: The implicit dynamics of in-context learning

This paper explores how stacking a self-attention layer with an MLP in transformers enables Large Language Models to learn in context by implicitly modifying MLP weights based on presented examples. https://arxiv.org/abs//2507.16003 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