Basics of generative AI

Generative AI goes beyond detecting human behavior and can independently generate new content such as text, images, audio, and video. Deep learning and large language models (LLMs), which are used in various areas, are fundamental here. 

The seminar supports participants in developing a sound understanding of generative AI, acquiring practical skills, reducing fears, and understanding the relevance of compliance and legal aspects.

Aim of the further education

• Understanding the basics of artificial intelligence (AI) and generative AI
• Reducing fears and prejudices towards AI.
• Recognizing use cases and benefits of generative AI in the manufacturing environment
• Practical experience in using generative AI tools, such as ChatGPT, MS Co-Pilot, KNIME AI
• Promoting creativity and problem-solving skills supported by AI
• Reduction of fears and prejudices towards AI
• Critical evaluation of news about AI
• Understanding the compliance and legal aspects of dealing with 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