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Learn how to adapt AI models for low-resource languages through a comprehensive webinar featuring NVIDIA and Dicta's collaboration on Hebrew language model development. Discover the practical implementation of Sovereign AI initiatives that empower local innovation using the Nemotron architecture and NVIDIA's NeMo framework. Explore Dicta's successful approach to building a Hebrew reasoning model, demonstrating how open models, transparent data, and efficient training tools can accelerate AI development for underrepresented languages. Master the essential practices for customizing foundation models, including data quality management, safety considerations, and deployment strategies for domain-specific reasoning systems. Gain access to practical references and tools that will enable you to begin your own model adaptation journey for low-resource languages.
Syllabus
How To Adapt AI for Low-Resource Languages with NVIDIA Nemotron
Taught by
NVIDIA Developer