Oboe
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Hi

Welcome. I'm glad you're here.

Whether you have a specific subject in mind or are just looking to explore, we can dive into almost anything together.

To get us started, what topic would you like to focus on today, and are you looking to learn it for yourself or help others learn it?

I want to learn something new for myself

I'd love to help you dive into something brand new today. To make sure we choose the perfect topic, let's narrow down what you are in the mood to explore.

Technology & AI

I would love to help you explore Technology & AI for yourself. It is a incredibly exciting space that is reshaping how we work, create, and live.

To make sure I tailor this journey perfectly to your goals, what specifically draws your interest to Technology & AI, and what level of prior experience do you have with it?

I have some tech background and want a deeper look into the mechanics

It is great to have you here! Since you already have some tech background and want to look closely at the mechanics, we can skip the surface-level fluff and get straight into the engine room.

Your path
How Machine Learning Works
Generative AI and LLMs
Real-World Applications and Ethics

Continue to Foundational Concepts of AI

Let's dive right into the core mechanics of Artificial Intelligence.

To understand where we are today, we have to look at the big picture: what actually is, and how its different core technologies stack up.

The Russian Doll of Modern Computing

A common point of confusion is how terms like Machine Learning, Deep Learning, and Generative AI relate to one another.

Instead of being entirely separate technologies, they exist in a nested hierarchy, resembling a set of Russian nesting dolls. Each layer is a highly specialized subset of the larger one.

A four-level nested hierarchy showing Generative AI inside Deep Learning, Deep Learning inside Machine Learning, and Machine Learning inside Artificial Intelligence.

I've started generating an interactive diagram above to show you exactly how these technologies nest together. As you can see, every piece of is inherently a type of Deep Learning, which is a specialized form of Machine Learning, which itself sits under the grand banner of AI. Let's unpack how we moved from rigid, hand-written rules to systems that actually learn and evolve on their own.