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

Latent Space 播客探讨 Suno 和 FlashAttention 2 的 Transformer 进展

作者 PulseAugur 编辑部 · [2 个来源] ·

Latent Space 播客（也称为 The AI Engineer Podcast）讨论了 Transformer 模型方面的进展。其中一集重点介绍了 Suno 及其与 Mikey Shulman 的合作，另一集则重点介绍了 Tri Dao 在 FlashAttention 2 方面的贡献，该技术在不进行近似的情况下显著提高了 Transformer 的性能。 AI

影响 这些播客节目提供了对特定人工智能技术及其开发者的见解，为 Transformer 模型方面的进展提供了背景信息。

排序理由 该集群由讨论人工智能技术和公司的播客节目组成，属于评论范畴。

在 Latent Space Podcast 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

Latent Space 播客探讨 Suno 和 FlashAttention 2 的 Transformer 进展

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该集群由讨论人工智能技术和公司的播客节目组成，属于评论范畴。
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报道来源 [2]

  1. Latent Space Podcast TIER_1 English(EN) · Latent.Space ·

    让 Transformer 唱歌——与 Suno 的 Mikey Shulman

    <p>Giving computers a voice has always been at the center of sci-fi movies; “I’m sorry Dave, I’m afraid I can’t do that” wouldn’t hit as hard if it just appeared on screen as a terminal output, after all. The first electronic speech synthesizer, the Voder...</p>

  2. Latent Space Podcast TIER_1 English(EN) · Latent.Space ·

    FlashAttention 2：在不进行近似的情况下，使 Transformers 加速 800% - 与 Together AI 的 Tri Dao

    <p>FlashAttention was first published by Tri Dao in May 2022 and it had a deep impact in the large language models space. Most open models you’ve heard of (RedPajama, MPT, LLaMA, Falcon, etc) all leverage it for faster inference. Tri came on the podcast t...</p>

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