Fortitumaru, participating in the '234th Hanlim Round Table Discussion'

Generative AI startup Fortitumaru announced on the 29th that it will participate in the '234th Academy Roundtable Discussion' held at the Korea Academy of Science and Technology Hall and make policy suggestions to strengthen Korea's artificial intelligence (AI) competitiveness.

The Korean Academy of Science and Technology (KAST) Roundtable Discussion is an open forum hosted by the Korean Academy of Science and Technology (KAST), where experts exchange opinions and suggest policy directions on issues in science, technology, and medicine. The 234th roundtable discussion will be held in a series format with the theme of ‘The Future of Artificial Intelligence in Korea’, and the first session, ‘AI Policy’, will be held online and offline in parallel with the theme of ‘Our Strategy to Become One of the Top 3 AI Powerhouses’.

At the discussion, Lee Gyeong-u, Director of the National AI Committee Support Team, will present on the topic, “Our country’s AI policy direction for becoming one of the top three AI powerhouses,” and Kim Jin-hyung, Professor Emeritus of the Department of Computer Science at KAIST, will present on the topic, “A country that uses AI well is a true AI powerhouse.”

FortiTumaru CEO Kim Dong-hwan will attend designated and free discussions to diagnose the current status of the AI industry in Korea from various aspects such as artificial intelligence technology development, learning data utilization, GPU infrastructure construction, and talent acquisition, and present policy improvement measures. The discussion will be moderated by Professor Cho Seong-bae of Yonsei University, and attended by Professor Joo Young-seop of Seoul National University, Director of Strategy Division Kim Yu-cheol of LG AI Research Institute, Director Lee Je-hyeon of Korea Institute of Energy Research, and Director Bang Eun-ju of ZDNet Korea.

FortiTumaru is a technology company specializing in generative AI. It is complementing the problem of hallucination, which is a limitation of ultra-large language models, with solutions based on search augmented generation (RAG42) and machine reading comprehension technology (MRC42), and is developing and operating a lightweight language model LLM42 applicable to specialized industries. It provides a private mode for corporate customers to enhance security and efficiency, and is also establishing a technology foundation that can reduce AI introduction costs.

CEO Kim Dong-hwan said, “In order to leap forward to become one of the top three AI powerhouses, a national strategy that goes beyond technological development to encompass industrial convergence and global market expansion is necessary,” adding, “Policy support should be provided in parallel for AI convergence by specialized industry and fostering global B2B/B2C startups.”


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