How much Python data was used for fine-tuning Codex after filtering?
Codex Flashcard
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Computers
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University
•
Hard
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1.
FLASHCARD QUESTION
Front
Back
159 GB
2.
FLASHCARD QUESTION
Front
True or false: Researchers observed improvements in the fine-tuning process when starting from GPT.
Back
True
3.
FLASHCARD QUESTION
Front
What was the most notable tokenization technique mentioned in today's presentation?
Back
Special tokens for white space
4.
FLASHCARD QUESTION
Front
Codex-D specializes in generating...
Back
Docstrings
5.
FLASHCARD QUESTION
Front
True or false, Codex-S prefers a higher temperature value than vanilla Codex?
Back
True
6.
FLASHCARD QUESTION
Front
Fine-tuning Codex from a GPT base model provided...
Back
Faster convergence
7.
FLASHCARD QUESTION
Front
Which surprising capabilities did Codex exhibit?
Back
None of these silly answers, April Fools!
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