ChocoLlama, a Flemish AI model developed by Matthieu Meeus and Anthony Raye, was featured in De Tijd, where they presented their work on adapting large language models to Dutch using techniques like LoRA and specialized tokenizers. Their research comparing adaptations of Llama-2 and Llama-3 suggests that for newer multilingual models, language-specific post-training may be more beneficial than continued pre-training for improving performance in lower-resource languages like Dutch.
The paper can be found here.
Read the article
here.
