Master Multilingual AI: Cross-Lingual RAG Systems Pro
Focused View
18:57
1. Introduction to Cross-lingual RAGs.mp4
07:10
2. Implementing Cross-lingual Embeddings.mp4
05:55
3. Building Language-agnostic RAGs.mp4
05:52
More details
Course Overview
This hands-on course teaches you to build multilingual Retrieval-Augmented Generation (RAG) systems using cutting-edge techniques like machine translation, cross-lingual embeddings, and language-agnostic representations to break language barriers in AI applications.
What You'll Learn
- Implement cross-lingual retrieval using machine translation and embeddings
- Integrate models like mBERT and XLM-R for true multilinguality
- Develop language-agnostic RAG systems without translation
Who This Is For
- AI developers building multilingual applications
- NLP engineers expanding cross-lingual capabilities
- Data scientists working with diverse linguistic data
Key Benefits
- Enhance retrieval accuracy across 100+ languages
- Unlock new possibilities in global AI deployment
- Future-proof your skills with cutting-edge techniques
Curriculum Highlights
- Foundations of cross-lingual retrieval
- Machine translation for multilingual AI
- Language-agnostic representations
Focused display
- language english
- Training sessions 3
- duration 18:57
- level preliminary
- English subtitles has
- Release Date 2025/06/07
