Growing an utility for extracting key profile info from CVs and recommending jobs aligned with the profile
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With the rising effectivity of Giant Language Fashions (LLMs), they’re turning into more and more widespread for info extraction from enterprise paperwork equivalent to authorized contracts, invoices, monetary reviews, and resumes, to call just a few. The data extracted from a number of sources may very well be used for matchmaking and suggestion techniques.
Among the functions of data extraction and matchmaking embrace:
- Automated request-for-quotation (RFQ) technology by extracting info from clients’ requests
- Extracting key utilization patterns from buyer’s knowledge to offer product suggestions
- Extracting key info from tenders and matching it with firm profiles to search out the potential bidders
- Extracting key info from an organization’s invoices and gross sales paperwork to generate sale-purchase reviews
- Extracting key info from buy orders to facilitate stock and provide chain administration
- Matching people on courting or matrimonial platforms based mostly on their profiles, and many others.
