Teaching LLMs a Low-Resource Language: Enhancing Code Completion in Pharo
Large language models can be adapted for low-resource programming languages through specialized training pipelines and benchmarks, achieving superior code completion performance co…
Hugging Face · Daily Papers
·Kilian Kier, Alessandro Giagnorio
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·▲ 5 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Kilian Kier, Alessandro Giagnorio, Omar AbedelKader, Oleksandr Zaitsev, Robert Peharz, Romain Robbes
- 5 upvotes da comunidade
- Temas: large language models, code completion, continued pre-training, fine-tuning, code completion benchmarks, Pharo language
Resumo
Resumo original (em inglês), extraído do paper:
Large language models can be adapted for low-resource programming languages through specialized training pipelines and benchmarks, achieving superior code completion performance compared to general-purpose models.