Nakshatra Saxena

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与Jev一起构建税务文件分类器。我们使用我上个纳税季节建立的LLM管道获取了数千份税务文件。直到今年四月，我还阅读了多篇文章，声称人工智能在税务文件分类方面失败。当时不是这样，现在又被证明是错误的。 Jev将我们100%的税务文件库归类为每页0.001美元。比LLM设置便宜34倍，速度快6倍。开源：https://t.co/gInVHudFRn

原帖全文 / EN

Built a tax document classifier with Jev. We ingest thousands of tax documents using an LLM pipeline I built last tax season. I read multiple articles as late as April this year claiming AI fails at tax document classification. Wasn't the case back then, and it's proved wrong again now. Jev classifies 100% of our tax document corpus at $0.001 per page. 34x cheaper and 6x faster than the LLM setup. Open sourcing it: https://t.co/gInVHudFRn

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项目与外链

github.comGitHub - kyotofin/tax-doc-classifier: Tax document page classifier built on Jev decisions. 100% strict accuracy across 261 IRS forms, ~$0.001 per page. ↗Tax document page classifier built on Jev decisions. 100% strict accuracy across 261 IRS forms, ~$0.001 per page. - kyotofin/tax-doc-classifier

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