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  2. This $39 AI-powered résumé app could help outsmart ... - AOL

    www.aol.com/39-ai-powered-r-sum-090000622.html

    TL;DR: As of April 6, get a lifetime subscription to this AI Résumé Builder for just $39 — a 97% discount.You may be the most qualified candidate for a job with a résumé that proves it, but ...

  3. Résumé parsing - Wikipedia

    en.wikipedia.org/wiki/Résumé_parsing

    With recent advancements in machine learning, the text mining and analysis processes, which ensure up to 95% accuracy in data processing, many AI technologies have sprung up to help the job seekers in the creation of application documents. These services focus on creating ATS-friendly resumes, execute resume check and screening, and help with ...

  4. Applicant tracking system - Wikipedia

    en.wikipedia.org/wiki/Applicant_tracking_system

    An Applicant tracking system has 8 main use cases: Source qualified candidates, Job posting, Parse resumes, Filter and search candidate database, Rank and rate candidates, Manage and track applicants, Schedule applicant interviews, Communication tools like automated emails and reminders to candidates and hiring manager, Reporting and analytics ...

  5. LinkedIn unveils platform for recruiters that uses AI to find ...

    www.aol.com/finance/linkedin-unveils-platform...

    Good morning! LinkedIn unveiled a slate of new AI tools on Tuesday, including a revamp of its recruiter platform for sourcing talent. The professional networking site will gradually roll out its ...

  6. Retrieval-augmented generation - Wikipedia

    en.wikipedia.org/wiki/Retrieval-augmented_generation

    Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.

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