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Source channel @githubtrending · Post #15141 · Sep 13

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#python#large_language_models#machine_learning_systems#natural_language_processing Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable. https://github.com/fla-org/flash-linear-attention

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AFF Channel | 不定时资讯推送

@affyes · Post #88 · 12/21/2024, 05:25 AM

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⚪️ 互联网速报 | Vercel 扩充新的 IP 段 Vercel 的 cname.vercel-dns.com 开始混入来自 66.33.60.0/24 的解析，目前每次解析均返回一组 76.76.21.x 和 66.33.60.x 的 A 解析。 经 WHOIS 查询，此 C 段的 ARIN 注册网络名为 VERCEL-02，分配于 2024-03-21，大约于最近几日 （2024-12-21）左右开始使用，截至发稿时 Vercel 官网文档还未作更新。 背景知识：此前 Vercel 一直只有 76.76.21.0/24 一个 C 段，不过可惜由于受到 AWS AGA 上游限制，目前 Vercel 仍然不支持 IPv6。 #Vercel#CDN#ARIN ✅ 本条消息由 AFF Channel (@affyes) 撰写，不含任何 AI 成分，请放心食用，转发请保留尾部声明，感谢支持。 ✅ 频道 https://t.me/affyes ✅ 群组 https://t.me/affyes_chat

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