Bronson Bakunga - Fine tuning LLMs For Translation of Low Resource East African Languages скачать в хорошем качестве

Bronson Bakunga - Fine tuning LLMs For Translation of Low Resource East African Languages

Join us for an engaging session with a Computer Science researcher exploring vital work in natural language processing. This master's student from Malaysia is tackling the critical challenge of developing better translation systems for East African languages. Their research focuses on fine-tuning Large Language Models (LLMs) specifically for low-resource languages, with a particular emphasis on Uganda's 42 indigenous languages and their various code-mixed forms. This work addresses a significant gap in current translation technology, as existing systems often fall short in supporting the linguistic diversity of not just Uganda, but many African nations. The research aims to contribute to the development of data and compute efficient training methods for LLMs in translation tasks, potentially opening new pathways for better language technology support in underserved linguistic communities. This session promises valuable insights into the intersection of machine learning, language preservation, and technological accessibility in the African context. Bio: "My name is Bakunga Bronson a Master of Computer Science student at Universiti Teknologi Malaysia. My research thesis title is "Fine-tuning Large Language Models For Translation of Low Resource East African Languages". This area of research is dear to me because existing translation systems do not address the needs of the 42 languages in my country, Uganda, as well as the various code-mixed forms they take on. This is not a problem unique to just Uganda, but many other African countries. I hope to add to research around data and compute efficient training of LLMs for translation with my work." This session is brought to you by the Cohere For AI Open Science Community - a space where ML researchers, engineers, linguists, social scientists, and lifelong learners connect and collaborate with each other. We'd like to extend a special thank you to Kato Steven Mubiru, Lead of our Geo Regional Africa group for their dedication in organizing this event. If you’re interested in sharing your work, we welcome you to join us! Simply fill out the form at https://forms.gle/ALND9i6KouEEpCnz6 to express your interest in becoming a speaker. Join the Cohere For AI Open Science Community to see a full list of upcoming events (https://tinyurl.com/C4AICommunityApp).