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Course Outline
Introduction to Cross-Lingual LLMs
- Exploring the capabilities of LLMs in language translation
- Challenges and solutions in cross-lingual NLP
- Case studies: Successful cross-lingual LLM applications
LLMs for Language Translation
- Preprocessing techniques for multilingual data
- Training LLMs for translation tasks
- Evaluating translation quality and performance
Creating Multilingual Content with LLMs
- Designing content strategies for global audiences
- LLMs in content localization and cultural adaptation
- Automating content creation across languages
Best Practices in Cross-Lingual Applications
- Maintaining linguistic accuracy and cultural relevance
- Addressing ethical considerations in automated translation
- Improving user experience in multilingual interfaces
Hands-on Lab: Cross-Lingual Translation Project
- Building a multilingual translation model with LLMs
- Testing the model with diverse language pairs
- Refining the system for industry-specific content
Summary and Next Steps
Requirements
- A basic understanding of natural language processing (NLP)
- Experience with Python programming and machine learning
- Familiarity with language translation and linguistics
Audience
- NLP practitioners and data scientists
- Content creators and translators
- Global businesses seeking to improve international communication
14 Hours
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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