Convert a document to markdown and classify it with an LLM in a single pipeline.
中文简介正在准备中。当前显示原文说明。
数据分析、机器学习、LLM 应用、提示词设计(9108 个)
Convert a document to markdown and classify it with an LLM in a single pipeline.
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Extract structured fields from w-8ben documents.
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Extract structured fields from zatca e-invoice documents.
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Extract structured fields from w-9 documents.
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Extract structured fields from w-2 documents.
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Generate a PDF packing slip and a PNG shipping label from the same order data in a single fulfillment workflow.
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Extract structured fields from w-4 documents.
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Export e-commerce order data to CSV with order numbers, customer details, amounts, and fulfillment status.
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Extract structured fields from warehouse receipt documents.
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Create a structured quarterly business report with table of contents, data tables, and page numbers.
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Extract property ownership, legal descriptions, encumbrances, and recording details from property deeds and land registry documents.
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Extract structured fields from property survey documents.
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Extract structured fields from rechnung documents.
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Extract product name, price, availability, description, and specifications from a public product page.
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Extract structured fields from sa100 documents.
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Extract structured fields from title insurance documents.
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Extract structured fields from profit loss documents.
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Extract line items, quantities, unit prices, delivery dates, and supplier details from purchase order documents.
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Extract receipt number, issuer, payer, date, tax, and total from Japanese receipts.
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Extract property, unit, tenant, lease dates, rents, deposits, and occupancy fields from rent rolls.
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Extract receipt number, issuer, payer, date, VAT, and total from German receipts.
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Extract structured fields from straight bill of lading documents.
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Extract product details from a supplier data sheet, then generate a branded e-commerce listing image with the product name, price, and key specs.
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Extract merchant, date, line items, tax, and total from receipts.
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