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Llama from scratch (2023)
I want to provide some tips from my experience implementing a paper. I'm going to cover my tips so far from implementing a dramatically scaled-down versio...
Make all of the helper functions required to test your model quantitatively (data splits, training, plotting the loss). When you're reading the introduction, they clearly indicate their goal: make a model that's cheaper for running inference, rather than optimizing training costs. Notice that in our model we're using a softmax layer on our logits, which is a function that takes a vector of numbers and squashes them into a probability distribution.
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