Originally published at: Improving Translation Quality with Domain-Specific Fine-Tuning and NVIDIA NIM | NVIDIA Technical Blog
Translation plays an essential role in enabling companies to expand across borders, with requirements varying significantly in terms of tone, accuracy, and technical terminology handling. The emergence of sovereign AI has highlighted critical challenges in large language models (LLMs), particularly their struggle to capture nuanced cultural and linguistic contexts beyond English-dominant frameworks. As global communication…
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Your work represents a direct and highly practical application of a domain-specific language, which I refer to as domain-specific natural language, particularly within the context of language translation. I would like to share my latest research findings, which I believe closely align with your work.
Last year, I presented these findings at the 2nd International Conference on Artificial Intelligence, Systems, and Cyber Security (AISNS 2024). The presentation was titled “Self Generative Systems (SGS) and Its Integration with AI Models.” To demonstrate the results of my research, I created a demo available on GitHub: GitHub Demo. You can also access the full article here: Research Article.
I believe there is significant potential for collaboration between our projects, and I would welcome the opportunity to explore this further with you.
You can contact me by email: alexmy@lisa-park.com; LinkedIn: linkedin.com/in/alex-mylnikov-5b037620