Mastering Multilingual GenAI - Open-Weights for Indic Languages

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This session focuses on developing multilingual Generative AI inspired by the Aya project. You will see a demonstration of how to fine-tune an open-weights aya-23-8B model on a new language using QLORA. The session will emphasize the importance of multilingual capabilities in generative AI, their challenges and opportunities, and practical steps for evaluation and safety considerations.

Key Takeaways:

  • Importance of Multilingual AI: Learn why integrating multiple languages into generative AI models is crucial for creating versatile and inclusive applications.
  • Challenges and Opportunities: Understand the key challenges and opportunities that come with fine-tuning AI models for multiple languages.
  • Evaluation and Safety: Discover the criteria for evaluating multilingual models and considerations for ensuring their safety and user preferences.
  • Practical Fine-Tuning: Gain hands-on knowledge on how to fine-tune an open-weights model on a new language using QLORA.
  • Project Insights: Learn from the Aya project, a long-term open-science initiative, and how it has shaped the approach to multilingual AI.

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