**How we made table parsing 4× faster with DFlash** > How Extend made table par

**How we made table parsing 4× faster with DFlash**

> How Extend made table parsing 4x faster with DFlash speculative decoding, why n-gram fell short on non-repetitive tables, and how we fine-tuned the drafter. Tables are the biggest latency bottleneck in document parsing . A dense table can take thousands of tokens to represent in HTML, including markup for every row and cell. Every token adds latency, and with standard decoding, each new token takes another pass throu...

**来源信息**
- **来源**：Hacker News：AI 热帖
- **分类**：ai-models
- **发布时间**：2026-11-10 01:45（北京时间）
- **原文**：[打开原文](https://www.extend.ai/resources/table-parsing-with-dflash)