Jerry Liu分享文档处理思路，LlamaParse针对表格、图表等优化，比通用模型更准更快，值得做文档处理的团队看看。
Jerry Liu指出，并非所有任务都需要前沿智能（如5.6 Sol xhigh），每个任务都存在最优模型+配置组合。LlamaIndex团队投资大量研究构建自动路由、微调布局模型和专门处理表格、图表、手写等模型。这些研究使LlamaParse成为文档处理服务领域在准确率、成本和延迟的帕累托前沿上最优的选择。他强调初创公司构建专业化、领域特定的工作流程仍有巨大空间。
There is a massive opportunity for any startup to build specialized, domain-specific workflows that ...
There is a massive opportunity for any startup to build specialized, domain-specific workflows that are at the Pareto frontier in accuracy, cost, and latency. It is clear that not every task requires frontier intelligence (e.g. 5.6 Sol xhigh). Every single task has an optimal model+harness configuration in order to solve that task in an accurate, cheap, fast manner. This holds true even as frontier models get better! We see this as being especially true for document OCR. We think there will always be a massive gap in the Pareto frontier for document OCR vs. frontier model capabilities for visual understanding. Over the past year, we’ve invested massive amounts of research efforts in building auto-routing harnesses, fine-tuned layout models, and specialized models for specific elements within the document distribution - tables, charts, handwriting, and more. All this applied research makes its way towards making LlamaParse the best document processing service out there. Come check it out: cloud.llamaindex.ai 💬 0 🔄 0 ❤️ 2 👀 211 ⚡