ぜひご参加ください。AI ではできないこと: 成功につながる人間のスキルをマスターするウェビナー 5 月 21 日午後 1 時 (東部標準時) |
ニューヨーク、ニューヨーク – 2023年12月7日 – Copyleaks, the leader in plagiarism identification, AI-content detection, and GenAI governance, today announced its latest capability innovation: Bard detection. With the innovation and scale of their existing technology, Copyleaks became the first to market with Bard detection capabilities, setting new standards in AI content detection.
Bard detection allows Copyleaks to offer a range of advanced features, including the ability to identify AI-generated content with remarkable precision across products, including:
“In today’s evolving landscape, where AI-generated content is on the rise with new platforms continuing to launch, Copyleaks is committed to providing the most accurate and comprehensive solution to detecting machine-generated content with a high degree of accuracy,” said Alon Yamin, CEO and Co-founder of Copyleaks. “Bard detection represents a major milestone in our journey to empower organizations to navigate the world of AI confidently and responsibly.”
Earlier this year, Copyleaks launched its enterprise-level, multi-language AI Content Detector for educational institutions, businesses, and individuals designed to detect whether digital content was written by a human or generated by AI, including OpenAI ChatGPT. The technology developed for this platform has enabled the rapid integration of Bard detection despite the algorithmic differences between these two Large Language Models (LLM). Copyleaks’ innovation and scalability are exemplified in this transition.
“Our robust technological foundation, combined with our commitment to research and development, enables us to adapt to new Large Language Models seamlessly,” Yamin added. “With text bots and AI software continuing to gain popularity, we’re dedicated to maintaining our status as a pioneer in the industry.”
2023年7月には、 調査研究 published on the Cornell Tech-owned arXiv declared Copyleaks AI Content Detector the most accurate tool for detecting text generated by Large Language Models. The study, conducted by four researchers from around the world, analyzed data collected from 124 submissions from computer science students before the creation of ChatGPT. They then generated 40 ChatGPT submissions and used the data to evaluate eight publicly available LLM-generated text detectors.
Copyleaks は、個人や企業がアイデアを共有し、自信を持って学習し、責任ある生成 AI の導入を確実に行える安全な環境の提供において、引き続き先頭に立っています。
Copyleaksとその革新的なAIコンテンツ検出ソリューションの詳細については、こちらをご覧ください。 https://copyleaks.com.
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