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Course Outline
Introduction to Semantic Understanding and Contextual AI
- Overview of NLU and its role in AI
- Semantic understanding in AI systems
- Contextual AI and its applications
Advanced Models for NLU
- Transformers and their architecture
- Pre-trained models: BERT, GPT, T5
- Fine-tuning models for semantic understanding
Contextual AI Techniques
- Understanding context in language processing
- Contextual embedding techniques
- Applications of contextual AI in real-world scenarios
Semantic Analysis in AI
- Techniques for semantic parsing
- Using AI to understand meaning and intent
- Challenges in semantic analysis
NLU Applications in AI Systems
- Improving chatbot interactions with semantic understanding
- AI systems for language translation and summarization
- Sentiment analysis and intent recognition in NLU
Ethical Considerations and Challenges in NLU
- Bias in language models and semantic understanding
- Ethical issues in deploying contextual AI
- Addressing limitations in NLU systems
Future Directions in Semantic Understanding and Contextual AI
- Emerging trends in NLU research
- Advances in deep learning for contextual AI
- Building more sophisticated and interpretable NLU models
Summary and Next Steps
Requirements
- Experience in natural language processing (NLP)
- Basic understanding of machine learning and AI concepts
Audience
- NLP researchers
- AI specialists
- Machine learning engineers
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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