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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).
- A basic understanding of machine learning and AI concepts.
Target Audience
- NLP researchers.
- AI specialists.
- Machine learning engineers.
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized 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 3200 € + VAT*
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