Build a Large Language Model (From Scratch) by welcome.html
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4.6 Coding the GPT model
We started this chapter with a big-picture overview of a GPT architecture that we called DummyGPTModel. In this DummyGPTModel code implementation, we showed the input and outputs to the GPT model, but its building blocks remained a black box using a DummyTransformerBlock and DummyLayerNorm class as placeholders.
In this section, we are now replacing the DummyTransformerBlock and DummyLayerNorm placeholders with the real TransformerBlock and LayerNorm classes we coded later in this chapter to assemble a fully working version of the original 124 million parameter version of GPT-2. In chapter 5, we will pretrain a GPT-2 model, and in chapter 6, we will load in the pretrained weights from OpenAI.
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