17min chapter

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2024 in Post-Transformers Architectures (State Space Models, RWKV) [LS Live @ NeurIPS]

Latent Space: The AI Engineer Podcast

CHAPTER

Advancements in Non-Transformer Architectures

This chapter explores the evolution of non-post-transformer architectures, emphasizing the advancements in scaling parameters and context lengths. It addresses the challenges of scaling attention mechanisms and introduces innovative models like Mamba and Jamba that improve performance and efficiency, particularly in processing long documents. The discussion also highlights the integration of historical concepts with modern techniques, shaping the future landscape of AI models.

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