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Naver unveils its AI strategy and products at DAN23

Haebom
Naver has unveiled its large language model (LLM) 'HyperClovaX' for generative AI services, and presented a roadmap for integrating it with existing businesses. With HyperClovaX, users can get answers for creative writing, summarization, reasoning, translation, coding, and more. It can help with business writing like reports and self-introductions, support interview practice, offer consultation, and serve many other purposes. Naver Cloud has also announced enterprise products, providing services and solutions to help companies succeed in business.
AI writing, Q&A, and more are scheduled for release later this year. The chatbot-style service is available via the link above.

Product Strategy

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HyperClovaX and ClovaX: Naver's conversational AI service, 'ClovaX,' is launching its beta version on the 24th, based on 'HyperClovaX,' an ultra-large-scale AI with enhanced capabilities in Korean, English, and programming.
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Various applications of ClovaX: ClovaX offers responses across creative tasks, summarization, reasoning, translation, and coding, and can be used for business writing, interview prep, counseling, and more.
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CUE: Key features: 'CUE:' understands complex and lengthy queries, and provides in-depth search results by utilizing reliable, up-to-date information essential for generating answers.
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Enterprise product launch: Naver Cloud is releasing enterprise products including AI services based on Neurocloud, enabling companies to safely develop specialized large language models trained on their own data without worries of security breaches or leaks.
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HyperClovaX's features and capabilities: What unique features and functions does Naver's HyperClovaX offer, and how does it stand apart from existing AI technologies?
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Ecosystem development plan: What services and ecosystems does Naver aim to establish through HyperClovaX, and which industries or sectors are likely to be influenced by this?
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Process of technological advancement: What technological challenges and refinements did Naver face during HyperClovaX's development, and what essential experiences and knowledge were gained through this?
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