Applied Generative AI and Natural Language Processing

Applied Generative AI and Natural Language Processing

What you’ll learn

  • Introduction to Natural Language Processing (NLP)
  • model implementation based on huggingface-models
  • working with OpenAI
  • Vector Databases
  • Multimodal Vector Databases
  • Retrieval-Augmented-Generation (RAG)
  • Real-World Applications and Case Studies
  • implement Zero-Shot Classification, Text Classification, Text Generation
  • fine-tune models
  • data augmentation
  • Prompt Engineering
  • Zero-Shot Promping
  • Few-Shot Prompting
  • Chain-of-Thought (Few-Shot CoT, Zero-Shot CoT)
  • Self-Consistency Chain-of-Thought
  • Prompt Chaining
  • Tree-of-Thought
  • Self-Feedback
  • Self-Critique
  • Claude 3
  • Open Source Models, e.g. LLama 2, Mistral

How to Enroll Applied Generative AI and Natural Language Processing course?

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