FlashAttention-2: Making Transformers 800% faster AND exact

Latent Space · Advanced ·🧠 Large Language Models ·2y ago
You can read the full write up on FlashAttention's architecture and inner workings on our blog: https://www.latent.space/p/flashattention 00:00:00 - Tri's background 00:02:18 - FlashAttention’s deep dive 00:17:21 - How the Hazy Research group collaborates across theory, systems, and applications 00:25:00 - Evaluating models beyond raw performance 00:27:00 - FlashAttention-2 00:30:00 - CUDA and The Hardware Lottery 00:35:00 - Researching in a fast-changing market 00:37:30 - Promising transformer alternatives like state space models and RNNs 00:43:00 - The spectrum of openness in AI models 00:4…
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Chapters (12)

Tri's background
2:18 FlashAttention’s deep dive
17:21 How the Hazy Research group collaborates across theory, systems, and applicati
25:00 Evaluating models beyond raw performance
27:00 FlashAttention-2
30:00 CUDA and The Hardware Lottery
35:00 Researching in a fast-changing market
37:30 Promising transformer alternatives like state space models and RNNs
43:00 The spectrum of openness in AI models
47:12 Practical impact of models like LLAMA2 despite restrictions
49:43 Incentives for releasing open training datasets
53:22 Lightning Round

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 ▶ FlashAttention-2: Making Transformers 800% faster AND exact
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