5min chapter

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0 cover image

FlashAttention 2: making Transformers 800% faster w/o approximation - with Tri Dao of Together AI

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0

CHAPTER

Transformer Alternatives: The Future of Language Modeling

Jonathan Franco: There's been quite a bit of development more recently about transformer alternatives. The question is, can they do well on language modeling? He says there are methods based on kind of state space methods that presumably could do much better in terms of capturing long range information while not scaling quadratically. And the hope could be that as we scale to long sequences, these alternative architecture could be more well suited for emerging applications.

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