AI Times, 17 Jun 2025
The Korean AI landscape has seen a surge in LLM development, with companies like Naver and Kakao vying for dominance. This competitive fervor stems from the understanding that LLMs are poised to revolutionize various sectors, from customer service to content creation. According to the article, Eastsoft, a company known for its software solutions, has entered the fray with its own large language model, “Allen LLM.” This marks a strategic shift for Eastsoft, expanding from its established B2C focus to target B2B and B2G markets.
Eastsoft emphasizes Allen LLM’s specialization in Retrieval Augmented Generation (RAG), a technique that enhances the model’s ability to generate reports and perform complex reasoning tasks by leveraging external data sources. This approach contrasts with models solely relying on pre-trained knowledge, potentially offering greater accuracy and relevance. The article notes that the integration of Allen LLM into their existing AI search engine, “Allen,” has already taken place, allowing for immediate practical application. This prior integration has reportedly allowed for rapid optimization, bringing the model’s performance closer to global standards.
Technically, RAG involves retrieving relevant information from external databases or knowledge graphs in response to a user’s query. This retrieved information is then used to augment the LLM’s context, enabling it to generate more informed and comprehensive responses. In the Korean market, where data privacy and security are increasingly important regulatory concerns, the ability of RAG-based LLMs to utilize specific, authorized datasets can be a significant advantage. Compared to global counterparts often trained on massive, less-curated datasets, Allen LLM’s focus could position it well within Korea’s stricter regulatory environment.
Eastsoft’s strategic move into the B2B and B2G sectors with a specialized LLM raises questions about how this technology will be adopted within Korean government agencies and businesses. Will this focus on RAG provide a competitive edge against larger players like Naver and Kakao? The success of Allen LLM will depend on its ability to address specific industry needs and navigate the evolving regulatory landscape. The development underscores the growing importance of specialized AI solutions in Korea’s rapidly transforming digital economy. As reported in the article, Eastsoft emphasizes the model’s rigorous fact-checking, search result filtering, and ranking capabilities, critical features for enterprise and governmental applications.
[기사 요약]
이스트소프트가 자체 개발한 대형언어모델(LLM) ‘앨런 LLM’을 정식 출시하며 B2B 및 B2G 시장 진출을 선언했습니다. 검색 증강 생성(RAG) 기술에 특화된 앨런 LLM은 기존 AI 검색 엔진 ‘앨런’에 통합되어 사실 확인 및 보고서 생성에 활용될 예정이며, 향후 외부 프로젝트에도 확대 적용될 계획입니다. 이를 통해 이스트소프트는 국내 LLM 시장에서 경쟁력을 강화하고, 공공 및 기업 시장에서 새로운 성장 동력을 확보하고자 합니다.