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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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Intro

This chapter examines the RWKV model, a groundbreaking architecture addressing key challenges in large language model (LLM) research. It emphasizes innovations such as enhancing context length and efficiency, while also discussing the shift in AI representation from Western-centric views to a more global perspective.

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