Convert a document to markdown and classify it with an LLM in a single pipeline.
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Data analysis, machine learning, LLM apps, and prompt design (9.1K skills)
Convert a document to markdown and classify it with an LLM in a single pipeline.
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Export e-commerce order data to CSV with order numbers, customer details, amounts, and fulfillment status.
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Create a structured quarterly business report with table of contents, data tables, and page numbers.
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Extract structured fields from zatca e-invoice documents.
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Extract structured fields from w-2 documents.
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Extract structured fields from warehouse receipt documents.
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Extract structured fields from w-9 documents.
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Extract structured fields from w-8ben documents.
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Extract structured fields from w-4 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 line items, quantities, unit prices, delivery dates, and supplier details from purchase order documents.
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Extract structured fields from t1 general documents.
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Extract structured fields from steuererklaerung documents.
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Extract structured fields from steuerbescheid documents.
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Extract structured fields from seikyusho documents.
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Extract structured fields from sa100 documents.
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Extract candidate name, contact details, work history, and skills from resumes.
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Extract landlord, tenant, property, lease dates, rent, deposit, utilities, occupants, and pet terms from residential leases.
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Extract employee, trip, mileage, per diem, expense lines, VAT, and totals from German travel expense claims.
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Extract receipt number, issuer, payer, date, tax, and total from Japanese receipts.
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Extract requestor, ship-from, ship-to, service, package, and handling instructions from shipping requests.
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Extract structured fields from recurring invoice 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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