Improve unit3 for rerelease #970
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sergiopaniego
approved these changes
Jun 16, 2025
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| text: "It processes multiple examples at once, making tokenization much faster.", | ||
| explain: "Correct! Processing in batches allows the fast tokenizer to work on multiple examples simultaneously, significantly improving speed.", |
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Correct is automatically added :)
Suggested change
| explain: "Correct! Processing in batches allows the fast tokenizer to work on multiple examples simultaneously, significantly improving speed.", | |
| explain: "Processing in batches allows the fast tokenizer to work on multiple examples simultaneously, significantly improving speed.", |
| }, | ||
| { | ||
| text: "It reduces computational overhead by only padding to the maximum length in each batch.", | ||
| explain: "Correct! Dynamic padding avoids unnecessary computation on padding tokens by only padding to the batch maximum, not the dataset maximum.", |
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| explain: "Correct! Dynamic padding avoids unnecessary computation on padding tokens by only padding to the batch maximum, not the dataset maximum.", | |
| explain: "Dynamic padding avoids unnecessary computation on padding tokens by only padding to the batch maximum, not the dataset maximum.", |
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| ### 3. What does the `token_type_ids` field represent in BERT tokenization? |
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| ### 3. What does the `token_type_ids` field represent in BERT tokenization? | |
| ### 3. What does the <code>token_type_ids</code> field represent in BERT tokenization? |
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| Test your understanding of data processing concepts: | ||
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| ### 1. What is the main advantage of using `Dataset.map()` with `batched=True`? |
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Using ` `, it's not actually rendered. Maybe trying with <code>?
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| ### 1. What is the main advantage of using `Dataset.map()` with `batched=True`? | |
| ### 1. What is the main advantage of using <code>Dataset.map()</code> with <code>batched=True</code>? |
burtenshaw
commented
Jun 17, 2025
burtenshaw
commented
Jun 17, 2025
burtenshaw
commented
Jun 17, 2025
Co-authored-by: Sergio Paniego Blanco <sergiopaniegoblanco@gmail.com>
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This PR upgrade unit 3 for rerelease in LLM Course. Main changes are:
this PR depends on this notebooks PR: huggingface/notebooks#600