Introducing the Open Ko-LLM Leaderboard: Leading the Korean LLM Evaluation Ecosystem

Back to Articles Introducing the Open Ko-LLM Leaderboard: Leading the Korean LLM Evaluation Ecosystem Published February 20, 2024 Update on GitHub Upvote 5 Chanjun Park Chanjun Follow guest Sung Kim hunkim Follow guest Clémentine Fourrier clefourrier Follow In the fast-evolving landscape of Large Language Models (LLMs), building an “ecosystem” has never been more important. This trend is evident in several major developments like Hugging Face's democratizing NLP and Upstage building a Generative AI ecosystem. Inspired by these industry milestones, in September of 2023, at Upstage we initiated the Open Ko-LLM Leaderboard. Our goal was to quickly develop and introduce an evaluation ecosystem for Korean LLM data, aligning with the global movement towards open and collaborative AI development. Our vision for the Open Ko-LLM Leaderboard is to cultivate a vibrant Korean LLM evaluation ecosystem, fostering transparency by enabling researchers to share their results and uncover hidden talents in the LLM field. In essence, we're striving to expand the playing field for Korean LLMs. To that end, we've developed an open platform where individuals can register their Korean LLM and engage in competitions with other models. Additionally, we aimed to create a leaderboard that captures the unique characteristics and culture of the Korean language. To achieve this goal, we made sure that our translated benchmark datasets such as Ko-MMLU reflect the distinctive attributes of Korean. Leaderb...