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

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  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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