Multilingual Models: Development and Evaluation

In this panel discussion, industry experts will share practical insights into the future of multilingual AI systems. We’ll discuss challenges in training and benchmarking multilingual models, and examine how they are applied in the industry and who benefits from them.

What you’ll learn:

• Approaches to address the scarcity of multilingual datasets in post-training

• How sample-efficient learning techniques overcome data scarcity for multilingual NLU

• How translation impacts fine-tuning and evaluation

• Challenges of evaluating generative models without human references in a multilingual setting

• Why VLMs struggle with cultural and linguistic nuances

Whether you're an AI enthusiast or a practitioner, this session will shed light on how multilingual models are transforming AI development.