NVIDIA分享LLM推理加速技巧
Need faster LLM inference without sacrificing accuracy? Speculative decoding can help. Choosing the...
NVIDIA教你如何用推测解码加速LLM推理，还给出了5个具体选择技巧，比普通方法更快还不牺牲准确度。
NVIDIA介绍了五种实用的推测解码(speculative decoding)指南，帮助在不牺牲准确性的情况下加速大语言模型推理。这些指南可帮助开发者根据模型类型、工作负载和硬件配置选择合适的草稿长度和生成方法。通过平衡吞吐量和延迟，NVIDIA的方法可显著提升LLM推理效率。
Need faster LLM inference without sacrificing accuracy? Speculative decoding can help. Choosing the...
Need faster LLM inference without sacrificing accuracy? Speculative decoding can help. Choosing the right draft length and drafting method depends on your model, workload and hardware. We break down five practical guidelines for balancing throughput and latency. Your browser does not support the video tag. 🔗 View on Twitter 💬 10 🔄 8 ❤️ 74 👀 5373 📊 20 ⚡
- arXiv cs.LG09-02 17:33原文