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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 ...
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Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
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.
An applicant tracking system (ATS) is a software application that enables the electronic handling of the entire recruitment and hiring processes. [1]An ATS is very similar to customer relationship management (CRM) systems, but are designed for recruitment tracking purposes.
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