How an AI Navigates the Error Landscape
How does an AI model like a Large Language Model actually 'learn'? This lesson demystifies the process of backpropagation and gradient descent, the core mechanisms that allow neural networks to adjust their parameters and improve from data. Using intuitive analogies, we'll explore how AI navigates a vast landscape of possibilities to find the path of least error, turning mistakes into understanding.