Kolmogorov-Arnold Networks VS Regular Deep Learning | New Large Language Models (LLMs) Paper

Опубликовано: 10 Май 2024
на канале: Rohan-Paul-AI

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Paper: https://arxiv.org/abs/2404.19756

Code: https://github.com/KindXiaoming/pykan

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MASSIVE idea proposed in this paper.

Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs) for approximating nonlinear functions 🤯.

📌 Moving activation functions from nodes (neurons) to edges (weights)!

📌 MLPs place activation functions on neurons, but can we instead place (learnable) activation functions on weights? Yes, we KAN!

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Hi, I am a Machine Learning Engineer | Kaggle Master. Connect with me on 🐦 TWITTER:   / rohanpaul_ai   - for daily in-depth coverage of Large Language Model bits

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