Cohere and LG CNS have collaborated to develop LuckyStar 111B, a large language model designed for Korean-English enterprise agents. This model is built upon Cohere's Command A model and employs techniques like preamble conditioning for efficient tool use. The research explores methods such as multilingual supervised fine-tuning, reinforcement learning with verifiable rewards, and 4-bit quantization to optimize performance and deployment under memory constraints. The adapted LuckyStar 111B model demonstrates improved capabilities in mathematical reasoning, function calling, and natural-language-to-SQL tasks, while maintaining strong instruction-following abilities in both languages. AI
IMPACT This research provides a practical framework for adapting large language models for multilingual enterprise applications, potentially improving efficiency and deployment in memory-constrained environments.
RANK_REASON The cluster describes a research paper detailing a new model and its adaptation techniques.
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