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RWKV: Reinventing RNNs for the Transformer Era — with Eugene Cheah of UIlicious

Latent Space: The AI Engineer Podcast

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Exploring the RWKV Model and Its Innovations

This chapter examines the RWKV model, a recursive neural network achieving transformer-like performance without attention layers, focusing on its efficiency and wide-ranging applications. It also highlights the model's architecture, various parameter sizes, and the implications of attention-free transformers in AI development.

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