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AI Magic: Shipping 1000s of successful products with no managers and a team of 12 — Jeremy Howard of Answer.ai

Latent Space: The AI Engineer Podcast

NOTE

Start Smart: Leverage Existing Data

Starting the training of Transformers or any neural network from scratch using random initialization is often unnecessary and inefficient. It's critical to avoid random weight initialization unless there’s a compelling reason to do so. Training models should leverage existing data that shares similarities with the target data, enhancing the model’s learning efficiency by building on prior knowledge instead of beginning anew.

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