You hear about new AI models having "billions of parameters." It sounds impossibly complex, but the core idea is surprisingly simple and it's the single most important concept for understanding how an AI actually works. These parameters determine an AI's capabilities, its limitations, and its potential for bias.

In this episode of The Health AI Brief we'll cover:

- A simple, intuitive analogy for what a 'parameter' actually is.

- How the process of 'training' an AI is really just about adjusting these billions of settings.

- Why understanding this concept helps you cut through the hype and critically appraise the AI tools being marketed to clinicians.

This is a foundational concept. Grasp this, and you'll have a much clearer view of the technology poised to change our practice.

AI in Healthcare, AI Parameters, Machine Learning, Neural Networks, Large Language Models (LLM), Healthtech, Digital Health, Clinical AI, AI Training, Model Architecture, Artificial Intelligence, Medical AI Explained.

Music generated by Mubert https://mubert.com/render

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