Invest Like the Best with Patrick O'Shaughnessy cover image

Jeremiah Lowin: Explaining the New AI Paradigm - [Invest Like the Best, EP.307]

Invest Like the Best with Patrick O'Shaughnessy

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* Training AI models*

During training, the model's architecture and weights are adjusted to encode information in a way that produces sensible outputs. The weights, which are initially random, determine how the architecture behaves by weighting different parts of it. The training process involves running inputs through the model, evaluating the outputs, and determining ways to improve them. This iterative process of adjusting the weights is slow and computationally intensive. It can take a long time to see meaningful progress and outputs from the trained model. Training AI models requires GPUs and involves changing potentially billions of numbers to continuously improve the model's performance.

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