Summary of Uccix: Irish-excellence Large Language Model, by Khanh-tung Tran et al.
UCCIX: Irish-eXcellence Large Language Model
by Khanh-Tung Tran, Barry O’Sullivan, Hoang D. Nguyen
First submitted to arxiv on: 13 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a novel approach to developing Large Language Models (LLMs) specifically adapted for extremely low-resource languages like Irish. The proposed framework allows for continued pre-training using only a fraction of textual data, making it more efficient and effective than traditional methods. The authors develop an open-source Irish-based LLM, UCCIX, which outperforms larger models on Irish language tasks with up to 12% performance improvement. Additionally, the paper contributes comprehensive Irish benchmarking datasets, including IrishQA and MT-bench, enabling rigorous evaluation and facilitating future research in Irish LLM systems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about creating a special type of artificial intelligence that can understand and generate text in the Irish language. This is important because there isn’t much work done on languages like Irish, which are spoken by very few people. The authors developed a new way to train this AI using less data than usual, and they showed that it works better than bigger models on certain tasks. They also created datasets to help others test their own language models on Irish. |
