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
How AI does meaning, semantic space
The innards of AI: Where meaning lives, semantic distance
The idea behind structure, structured data
How AI finds what you want: retrieval-augmented generation
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
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.
If you liked it, you can support my work doing any of the below. Please
Share this post