Quality Engineering for GenAI

Amplified quality engineering for GenAI, is about applying quality measures to build the right quality level. Subsequently collect information about the quality level and remaining risks to enable stakeholders establish the level of confidence that the pursued business value will be achieved.

This module is about quality engineering for GenAI and also for other forms of AI and intelligent machines like robots and chatbots. This broader focus is relevant because it is not always easy to distinguish one form of machine intelligence from another. The quality measures applied, are often similar for different forms of machine intelligence.

Machine intelligence extends human possibilities, creates new ways of working and brings new thoughts on existing products and solutions. Typical characteristics of the new possibilities are:

Speed: extremely fast market response
Data: huge amounts of data are collected and used
Integration: an almost infinite number of possible integrations of systems and components.

The following building blocks are relevant within this module, Quality Engineering for GenAI

Quality of AI-Based Systems
Moving from Testing at the End to Forecasting Quality
Quality Characteristics for AI and GenAI
Quality of GenAI Models
Integrating GenAI in Software Applications
Test Design for Intelligent Machines
Testing AI with AI, Keep an Expert in the Loop

This module: