Model merging in llms, mllms, and beyond: Methods, theories, applications and opportunities
Model merging is an efficient empowerment technique in the machine learning community
that does not require the collection of raw training data and does not require expensive …
that does not require the collection of raw training data and does not require expensive …
Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect
We introduce Atlas-Chat, the first-ever collection of LLMs specifically developed for dialectal
Arabic. Focusing on Moroccan Arabic, also known as Darija, we construct our instruction …
Arabic. Focusing on Moroccan Arabic, also known as Darija, we construct our instruction …