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Fine-tuning
Overfitting
Natural language processing
What is a primary use for Large Language Models?
Large Language Models can be used for various tasks, including
, summarization, and question answering.
One major application of Large Language Models is in
translation, which facilitates communication across languages.
How do Large Language Models usually learn?
Tokenization
Large Language Models can generate human-like
after being trained on a diverse dataset.
Inference
Large Language Models are capable of performing
analysis to determine the emotional tone of text.
Which statement is true regarding the size of Large Language Models?
One challenge faced by Large Language Models is the
present in the training data.
Tokenization is the technique used to split text into smaller
that the model can understand.
Parameters
What is one concern related to Large Language Models?
Training Large Language Models requires substantial
resources.
Training corpus
What does the term 'Large Language Model' refer to?
Another application is
development, where these models can interact with users in a conversational manner.
