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Insights: Whitepaper
Fundamentals of AI: Getting the best from Generative AI

If you have read a previous paper in this series, welcome back! If this is your first visit, this 3 paper series dives deep into what you need to know about AI to make informed decisions. Written specifically to support Board members and other leaders, the series examines 7 key questions to ask of any AI solution that your organisation is considering procuring.

The papers are designed to be as powerful individually as they are as a series. If you read this and feel you would like to know more you can find links to the rest of the series on page 2.

In ‘Getting the best from Generative AI’ learn about testing a GenAI model and what to look out for in the results of the tests. What is a ‘good performance’? And why humans still need to be involved in the process to guide and guard outputs.

Content

  • The essential place of testing in evaluating GenAI
  • The limits of precision and recall as metrics
  • The 6 Quality metrics
  • Knowing 'good performance' when you see it
  • The limits of a well-performing model
  • 5 take-outs for your next steps
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