We will use basic Python code with only numpy and a softmax function in 10 steps to run the key aspects of the attention mechanism.

Note: Bear in mind that an Industry 4.0 developer will face the challenge of multiple architectures for the same algorithm.

Now let's start building step 1 of our model to represent the input.

Step 1: Represent the input

We will start by only using minimal Python functions to understand the transformer at a low level with the inner workings of an attention head. We will explore the inner workings of the multi-head attention sublayer using basic code:

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