Growing an utility for extracting key profile data from CVs and recommending jobs aligned with the profile
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With the growing effectivity of Giant Language Fashions (LLMs), they’re changing into more and more widespread for data extraction from enterprise paperwork equivalent to authorized contracts, invoices, monetary studies, and resumes, to call just a few. The data extracted from a number of sources could possibly be used for matchmaking and advice methods.
Among the purposes of knowledge extraction and matchmaking embrace:
- Automated request-for-quotation (RFQ) technology by extracting data from prospects’ requests
- Extracting key utilization patterns from buyer’s information to supply product suggestions
- Extracting key data from tenders and matching it with firm profiles to seek out the potential bidders
- Extracting key data from an organization’s invoices and gross sales paperwork to generate sale-purchase studies
- Extracting key data from buy orders to facilitate stock and provide chain administration
- Matching people on relationship or matrimonial platforms primarily based on their profiles, and so on.