Growing an software for extracting key profile data from CVs and recommending jobs aligned with the profile
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With the rising effectivity of Giant Language Fashions (LLMs), they’re changing into more and more widespread for data extraction from enterprise paperwork akin to authorized contracts, invoices, monetary stories, and resumes, to call just a few. The knowledge extracted from a number of sources might be used for matchmaking and advice programs.
A number of the purposes of knowledge extraction and matchmaking embody:
- Automated request-for-quotation (RFQ) era by extracting data from prospects’ requests
- Extracting key utilization patterns from buyer’s knowledge 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 stories
- 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 many others.
