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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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Navigating Language Data for AI Models

This chapter explores the challenges and strategies involved in curating instruction data sets for language models, particularly focusing on compliance and multilingual support. It discusses community-driven enhancements and the development of new tokenization methods to improve model performance across various languages. The conversation highlights the careful balancing of diverse language inputs to foster a robust and inclusive language modeling framework.

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