
Multilingual LLMs and the Values Divide in AI with Sara Hooker - #651
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Benefits of Joint Training on Multiple Languages for NLP Models
Training on multiple languages simultaneously allows for high transferability, as all languages contribute proportionally to the model's overall performance. Joint training benefits low resource languages by leveraging the learning of general semantic structures shared across languages. The number of languages in pre-training affects the transferability observed in the fine-tuning stage, and further research can provide insights into this dynamic.
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