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title: "Video: Explaining Explainability: Learning to Whistle"
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# *Nov 8, 2024, 8:34:31 AM | [AI](https://gistlabs.ai/blog/topic/ai)* Video: Explaining Explainability: Learning to Whistle

[John Heintz](https://gistlabs.ai/blog/author/john-heintz)

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The folks at Agile Austin invited me to present at the [Product and AI Special Interest Group in October 2024](https://www.meetup.com/agileaustin/events/303683106).  The subject was "Explaining Explainability", which I wrote about in this [blog post.](https://gistlabs.ai/blog/explaining-explainability)

 

# Synopsis

Learning “by example” isn’t explainable, learning “by model” is very explainable. ChatGPT is “by example”.

# Conclusion

The two ways “learning” can happen:

- “by example”, learning to whistle and Neural Networks
- “by model”, recipes and Bayesian Networks

Both are useful but different. They can be combined to create a blended system with the best of both and significantly more explainable. LLMs can be used to expect details from document and those fed into a model for probabilistic explainable decisions. 

 

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### Written by: John Heintz

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