Part Five: Demystifying AI: Inside the "Black Box" of Deep Neural Networks

Ever wonder exactly what is happening inside the "black box" of artificial intelligence? In this video, we break down the architecture of Deep Neural Networks (DNNs) and Large Language Models (LLMs) so business leaders can understand the technology powering the AI revolution.

Using a simple 28x28 pixel image of a handwritten number '9', we walk step-by-step through:

Input Layers: How raw data (like pixels or text) is fed into the machine.

Hidden Layers: How the AI breaks down complex information into microscopic parts (like loops and lines) to make sense of it.

Output Layers: Why AI doesn't "know" the answer, but instead makes highly confident probabilistic guesses.

Machine Learning in Action: How neural networks grade their own mistakes and "tweak the knobs" backward to get smarter over millions of iterations.

We also scale this concept up to explain massive models like GPT-3 (175 billion parameters) and Meta's Llama 2 (70 billion parameters), explaining why training your own model from scratch is a $100M+ mistake.

Stick around until the end for a sneak peek at Part 2, where we'll discuss how to safely inject your own proprietary company data into these massive neural networks!

Видео Part Five: Demystifying AI: Inside the "Black Box" of Deep Neural Networks канала David Gossett