This is a NotebookLM-generated typical 2-person dialog that summarizes the core ideas I covered in my 10-part ‘conc’ series (2024) about AI Fundamental Concepts, specifically Generative AI.

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!

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: After I mentioned to it that I was the author of the series, NotebookLM’s characters keep saying “Ash said” quite a few times more than I expected, but I trust that’s still better than the default “according to the source material”.

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

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