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Overview
“Implementing Multilingual Generative AI: Cross-lingual RAGs” is a specialized course for AI engineers, data scientists, and machine learning practitioners focused on building Retrieval-Augmented Generation (RAG) systems that work seamlessly across multiple languages. With the increasing global demand for AI applications that serve multilingual audiences, this course equips learners with the technical knowledge and practical skills to design and deploy cross-lingual RAG pipelines. Participants will explore the core components of RAG architectures, including embedding models, vector databases, and language models. The course...
Syllabus
- Implementing Multilingual Generative AI RAGs 18mins
Instructor
Brian Letort
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