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AI-Powered Information Extraction and Matchmaking | by Umair Ali Khan | Jan, 2025

January 1, 2025
in Artificial Intelligence
Reading Time: 2 mins read
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Creating an software for extracting key profile info from CVs and recommending jobs aligned with the profile

Umair Ali Khan
Towards Data Science

If you’re not a Medium member, you may learn the total article from this hyperlink.

With the growing effectivity of Massive Language Fashions (LLMs), they’re changing into more and more widespread for info extraction from enterprise paperwork resembling authorized contracts, invoices, monetary experiences, and resumes, to call just a few. The data extracted from a number of sources might be used for matchmaking and advice programs.

Among the purposes of data extraction and matchmaking embody:

Computerized request-for-quotation (RFQ) technology by extracting info from clients’ requestsExtracting key utilization patterns from buyer’s knowledge to supply product recommendationsExtracting key info from tenders and matching it with firm profiles to seek out the potential biddersExtracting key info from an organization’s invoices and gross sales paperwork to generate sale-purchase reportsExtracting key info from buy orders to facilitate stock and provide chain managementMatching people on relationship or matrimonial platforms based mostly on their profiles, and many others.

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Tags: AIPoweredAliExtractionInformationJanKhanMatchmakingUmair
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