This is a brief dialog between Bryan and Brenda that summarizes the core ideas of my article of the same title in my 10-part ‘conc’ series (2024) about Fundamental Concepts in Generative AI.

The whole series, and each article therein, can be found using the links below:

AI Fundamental Concepts

* Are Language Models just Parrots?

* What is AI - The improbable story of the probabilistic revolution

* What is the Meaning of?

* How AI does meaning, semantic space

* It’s Meaning Cats and Dogs

* The innards of AI: Where meaning lives, semantic distance

* To Geek or not to Geek

* The idea behind structure, structured data

* Seek and Thou Shalt Find

* How AI finds what you want: retrieval-augmented generation

* Ask and Ye Shall Receive

* How to get the best out of the AI genie: prompt engineering

* Of Parrots and Parallel Worlds

* From next-word prediction to coherent language construction: AI chatbots

* When AI goes to Work

* Betwixt creativity and consistency: Enterprise AI challenges, evaluations (evals)

* Putting it All Together: AI in Action

* From Generative AI theory to reality using a real-world example

* The Complete AI Canvas: Our Concept Journey in Review

* Recapping our journey through the essential concepts of Gen AI

PS: Bryan and Brenda and the content of their dialog are all AI-generated (NotebookLM by Google) all based on my original work.

Be ready for a high dose of meta irony as this is an AI-generated summarization of my explanation of how AI works with the AI voices using ‘we’ to mean humans!

Reading the actual articles themselves is even more fun, I promise.

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