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5 cards from this section. Quick, good the night before a test.
What is the first step in training LLMs?
It involves gathering information.
What is tokenization?
Think of it as dividing a whole into pieces.
What is the primary purpose of data collection in LLM training?
Think about where the model gets its training material.
True or False: Tokenization involves using whole sentences for training.
Consider the definition of tokenization.
Discuss the effects of poor tokenization choices on LLM performance.
Consider how misunderstanding language structures could affect predictions.
Analyze the implications of using biased datasets during the data collection phase in model training.
Reflect on real-world consequences when machine learning models are trained on unrepresentative data.
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