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Overview
Practice machine learning engineering — tensors, linear algebra, deep learning, and more. Level up with coding challenges and timed interviews.
News
Tokenisation: Who decides what a token is anyway?
How does a neural network understand text? It's a question so basic, you can be forgiven for forgetting about it. Words and letters are human-readable, but are discrete (even if infinite in combination) and not compatible with the continuous representatio
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Adam and AdamW: adaptive optimisation and weight decay
What goes wrong when naively putting weight decay in the Adam optimiser, and how AdamW fixes it.
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Thinking Machines dropped RoPE
Thinking Machines' first model encodes position with a learnt attention bias rather than RoPE, but it's not just a replacement, it's a fundamental shift in how position is thought of.
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The annotated PyTorch training loop
What every line of a PyTorch training loop does, why it belongs where it is, and what breaks if you move it.
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MAE vs MSE: more than just the mean vs median debate
Mean squared error and mean absolute error are usually compared by how they handle outliers. But how often do you think that MSE predicts the conditional mean and MAE the conditional median? And if you do, how often does Gauss or Laplace come to mind?
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