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What are the hidden state vectors used for in Large Language Models?
What are the hidden state vectors used for in Large Language Models?
- To encode the hyperparameters of the model
- To represent the final output of the model
- To store the training data for the model
- To track the syntax and resolve ambiguities in the input text (correct)
How many layers does the most powerful version of GPT-3 have?
How many layers does the most powerful version of GPT-3 have?
- 96 layers (correct)
- 64 layers
- 2 layers
- 24 layers
What kind of information do the later layers of Large Language Models focus on?
What kind of information do the later layers of Large Language Models focus on?
- They focus on developing a high-level understanding of the passage as a whole (correct)
- They focus on encoding the input text into a numerical representation
- They focus on resolving ambiguities in the input text
- They focus on understanding the syntax of the input text
What kind of information do Large Language Models keep track of when 'reading through' a short story?
What kind of information do Large Language Models keep track of when 'reading through' a short story?
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What is the purpose of the 'hidden state' in Large Language Models?
What is the purpose of the 'hidden state' in Large Language Models?
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