c) Custom AI Solutions: These are tailored applications designed to solve specific problems. An example mentioned is John Hopkins University's AI system for detecting sepsis, which improved diagnostic accuracy from 2-5% to an average of 40%.
2. Surfacing Implied Context
When communicating with AI tools, it's crucial to explicitly state any implied context. This helps in getting more accurate and relevant responses. Examples include:
- Mentioning dietary preferences when asking for restaurant recommendations
- Providing performance metrics and industry standards when seeking advice on salary negotiations