While ChatGPT uses various neural network architectures, for the purposes of this question, we are going to assume that a chatbot similar to ChatGPT has been trained using just a recurrent neural network $($RNN$).$

a$.$ This diagram shows a simplified version of the recurrent neural network that might be used.

In general terms, describe the role played by each layer in this network during a task where the chatbot has been asked to complete a sentence.

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b$.$ The chatbot was asked to complete the following sentence:

Children like $\_\_\_\_\_\_\_\_\_\_\_\_\_\_$

And it completed it as:

Children like eating chocolate.

Here is an unfolded RNN that could have been used to complete this task:

Notice that six points have been labelled as A$,$ B$,$ C$,$ D$,$ E and F$.$

Explain, in abstract terms, what is being stored at each of these six points during the task, and why.

Note, you are not expected to describe the actual raw data that is stored at each point. You are being asked to explain what natural language is being stored, in the context of the language generation task.$$