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Finding Meaning and Purpose in a Solved World | Nick Bostrom
Hidden Forces
Exploring How Neural Networks Learn and Improve Without Explicit Rules
Exploring how neural networks learn and improve through training without the need for explicit rules, focusing on adjusting weights during training and using methods such as gradient descent. Emphasis on unsupervised learning and training large language models with internet text data.
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