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Last Updated: October 21, 2026
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In this AI Research Roundup episode, Alex discusses the paper: 'Self-Distillation Enables Continual Learning' Continual learning ... sliding DFT demo with waterfall display on FPGA dev board. Why do AI models lose their existing abilities every time they're taught something new? It's called catastrophic forgetting — and it's ... emergent-behaviors.com/solving-catastrophic-forgetting-via-self-distillation-fine-tuning- Read full article here: binaryverseai.com/self-distillation- OPK, aimbot, rapid fire, telekill. Ever feel your AI is a genius one second and totally clueless the next? Traditional fine-tuning has a massive problem called ... This video deals with the n-point DFT, Sliding DFT ( Oral presentation in IROS 2024. Author: Ayumi Umemura, Ken Sakurada, Masaki Onishi, and Kazuya Yoshida. Ever feel your AI learns a new trick and immediately forgets how to "sit"? That's called **Catastrophic Forgetting**, and it's ... In this video, we sit down with Jonas Hübotter (ETH Zurich) and Idan Shenfeld (MIT) to break down self-distillation a post-training ... From NotebookLM from the source:
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