Introduction to Generative AI

Basics of generative AI

• Definition and functionality of generative AI
• Essential concepts: Neural networks, deep learning, models (e.g. GPT, DALL-E)
• Examples and use cases in the industry
• Reducing fears and prejudices: Clarification of misunderstandings and myths

Compliance, legal, and ethical aspects

• Compliance: Relevance and principles for dealing with AI
• Data protection and security: handling data, legal requirements, compliance and ethical aspects
• Guidelines
• Information on the EU AI Act for the development and operation of AI models
• Critical evaluation and interpretation of news and reports on AI

Generative AI in practice

• Presentation of tools and platforms: OpenAI, MS-Copilot, Hugging Face, etc.
• Live demonstrations: Generation of texts, images, designs
• Potential of AI in day-to-day business: increasing efficiency, improving quality
• Accelerate digitalization and innovation

Practical exercises and use cases

• Hands-on session 1: 
  • Research, generation of texts with Chat GPT
  • Exercise: Creating texts (e.g. summaries, work instructions, translations) with generative AI
  • Discussion and feedback: Evaluation of the results
• Hands-on session 2: 
  • Generating images with DALL-E
  • Exercise: Creation of images, graphics and designs, e.g. for product design
  • Discussion and feedback: Evaluation of the results
• Hands-on Session 3:
  • Use of KNIME AI for the creation of simple workflows and data analysis

Conclusion

• Outlook
• Expert tips 
• Wrap-up and Q&A session