Dnotitia Inc. (Dnotitia), a fast-rising innovator in long-term reminiscence AI and semiconductor-integrated options, has introduced the launch of its high-performance massive language mannequin (LLM), ‘DNA 2.0’. Shifting past conventional textual content era, the mannequin is designed to allow agentic AI – AI that may autonomously combine with exterior instruments and carry out advanced duties. As agentic AI turns into a core expertise driving enterprise automation and operational effectivity, ‘DNA 2.0’ represents a big step ahead in real-world AI purposes.
The mannequin options superior tool-calling capabilities that enable it to grasp person directions and carry out duties similar to search, summarization, and computation. A Korean-optimized post-processing framework refines command buildings and response codecs to ship extra correct and constant outputs.
Dnotitia has utilized a Mannequin Context Protocol(MCP) – suitable structure, enabling the automated dialog of pure language instructions into inside specs and seamless API integration with exterior instruments. This underpins important agent functionalities similar to Korean-language RAG (Retrieval-Augmented Technology) and persona configuration.
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‘DNA 2.0’ is accessible in a variety of parameter sizes, from compact 0.6B fashions to large-scale 235B MoE(Combination of Specialists) configurations. The MoE construction enhances computational effectivity by activating solely the related professional modules primarily based on context. The 14B model is launched as open-source, whereas the smaller fashions are optimized for on-device deployment.
In parallel, Dnotitia has launched its Korean LLM Leaderboard, offering an goal benchmark for evaluating LLMs on Korean-language efficiency throughout each industrial and open-source fashions. Constructed on an internally developed analysis dataset tailor-made for Korean, the leaderboard permits side-by-side comparisons below constant situations. On this benchmark, the newly launched ‘DNA 2.0’ demonstrated superior efficiency in comparison with most Korean-language fashions of comparable dimension.
“DNA 2.0 isn’t just a generative AI mannequin,” mentioned Moo-Kyoung Chung, CEO of Dnotitia. “It’s a sensible agentic AI designed for real-world purposes in Korean. It presents a viable various for attaining excessive efficiency with restricted assets and lays the groundwork for constructing sovereign AI tailor-made to nationwide languages, authorized programs, and cultural contents.”
Following the discharge of ‘DNA 1.0’ final yr, Dnotitia has now launched three LLMs to this point, together with ‘DNA-R1’, Korea’s first logic reasoning mannequin specialised for Korean. The corporate has additionally open-sourced ‘QLLM-INFER’, a benchmark device for evaluating AI quantization algorithms, and Smoothie Qwen, a multilingual post-processing device that reduces unintended language outputs. Via these open-source initiatives, Dnotitia is contributing to the development and wider adoption of generative AI applied sciences in each home and worldwide communities.
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