Make AI do what you need (and not what it thinks you need or wants to do)
GPT by OpenAI and other language models deliver impressive results in processing information – but they don’t always solve problems reliably. To make them suitable for industrial use, cognitive and algorithmic solutions must be combined. The new PROSTEP white paper on the MADWYN principle explains how a modular approach can significantly reduce the development effort associated with this integration.
Highlights:
- Document handling
- Change index
- Table of contents
- Abstract
- Cognitive Foundation – Why AI Only Almost Thinks Like a Human
- Algorithmic vs. Cognitive
- Finding the Boundary
- Example: Chapter Summarization of Documents
- Reducing Development Effort with No-Code AI Patterns
- Industrial Maturity and Robustness
- Conclusion
