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melbourne, australia, April 4, 2023 /PRNewswire/ — Since 2018, Sapia.ai has quietly built its own proprietary data asset, Language Data, based on over 12 million questions collected from 2.5 million users in over 47 countries. I was. This dataset powers the proprietary large-scale language model used to deliver Smart His chats. Australia The world is hiring more and more quickly and fairly.
Smart Chat belongs to a unique category of recruitment automation built on the science of structured interviews delivered via chat. From just a few hundred words, AI discovers a range of qualities that are important to talent management, especially the soft skills that play a key role in deciding who to hire, move, and promote.
Everyone interviewed receives insights and coaching tips to reflect what the AI understood from the conversation.Be blind, untimed and asynchronous using this algorithm built entirely from scratchst The linguistic party data asset has almost completely removed human bias from the candidate screening process, meaning it has accelerated diversity results. The impact of sapia.ai smart chat in increasing applicant diversity is currently being verified by independent research.
Doctor Buddhi JayathilekeChief Data Scientist at Sapia.ai said: Combining traditional evaluation science with his NLP and machine learning to disrupt broken hiring practices, especially during the candidate screening stage.
“This proprietary data asset includes everything from the HEXACO-based model for inferring personality traits and multiple behavioral abilities to InterviewBERT, a fine-tuned instance of Google’s BERT model for contextual interview response representation. have fueled our innovation journey: The diversity and richness of linguistic datasets has led to innovations built to detect plagiarism, anomalous responses, and most recently the ability to detect AI-generated interview responses. It has made smart interviews even more effective.”
“It is clear that recent innovations in basic large language models (LLMs) are revolutionizing language-based AI systems. It can only be obtained by extending the model with more domain-specific data sets.Sapia.ai is a good place to bring ‘‘Last Mile’ Delivering value from these LLM innovations to the HR stack through large linguistic data sets. ”
barb hymanFounder and CEO of Sapia.ai said: From the beginning, we’ve been dedicated to building AI technology that people trust. Resumes create biases that we cannot escape. ”
Sapiai.ai’s current focus is on selling to enterprise clients who derive the greatest benefit from the transformative nature of their technology. They already work on many ASX 100’s Australia and new zealandQantas Group, Suncorp and Spark NZTheir largest client, the Woolworths Group, is the largest private employer in the United States. Australiainvested in the company through its VC department because it saw game-changing ROI in using sapia.ai for mass hiring.
“Many years before OpenAI released the GPT model, we could see the power of technology combining the human experience of chat with the intelligence enabled by our innovations. A similar tech chat is empowering, always on, always learning and picking up the pace to be smart.People hugging AI The AI that gives people back agency, in a good way. ”
About Sapia.ai
Sapia’s mission is to build a fairer, more human world through ethical AI. Powered by the world’s largest first-party proprietary text data source and the world’s first Smart Interviewer with advanced natural language processing, Sapia transforms simple text conversations into unprecedented talent intelligence, empowering organizations to grow at scale. Overcome hiring bias and ensure you get the right talent. It’s fast and gives all candidates the experience they love.
Link in: https://www.linkedin.com/company/3251241/
twitter: @get_sapia
Facebook: https://www.facebook.com/SapiaAi/
Instagram: @sapia.ai
contact: barb hymanbarb@sapia.ai
See original content: https://www.prnewswire.com/news-releases/ai-recruitment-tool-achieves-worlds-largest-proprietary-data-asset-built-off-structured-interviews-301790243.html
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