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Duration 21 hours
Course Outline
Introduction to LLM Translation Systems
- Understanding neural machine translation (NMT) and its constraints
- Overview of LLM architectures and their translation capabilities
- Comparison between traditional machine translation and LLM-based approaches
Working with Proprietary and Open-Source LLMs
- Utilising OpenAI, Deepseek, Qwen, and Mistral models for translation tasks
- Balancing performance against latency trade-offs
- Selecting the optimal model for specific workflow requirements
Building Translation Pipelines with LangChain
- Core principles for designing LLM translation pipelines
- Implementing a translation chain using LangChain
- Managing context windows and token utilisation
Automating Translation Workflows
- Scheduling translation tasks using Python and automation tools
- Processing multi-language batch jobs
- Integration with localisation management systems
Enhancing Translation Quality
- Prompt engineering for context-aware translation
- Post-editing automation and human-in-the-loop design
- Fine-tuning strategies for domain-specific translation needs
Evaluating and Monitoring Translation Pipelines
- Automatic quality estimation (AQE) and BLEU score assessment
- Logging, analytics, and pipeline observability
- Error handling and fallback mechanisms
Scaling and Deploying Translation Systems
- Cloud deployment using Docker and serverless frameworks
- Load balancing and parallel processing for large-scale translation
- Security, compliance, and data privacy considerations
Integrating Translation Pipelines into Enterprise Infrastructure
- Connecting translation APIs to CMS, ERP, and L10n platforms
- Managing costs and performance at scale
- Governance and approval workflows for enterprise localisation
Summary and Next Steps
Requirements
- A solid grasp of Python programming
- Experience with API integration and workflow automation
- Familiarity with machine learning concepts and language models
Audience
- Machine Learning Engineers
- Localisation and Translation Technology Specialists
- Software Architects and Engineering Leads
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customised Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from £4800 + VAT*
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