Is code-davinci-002 just the largest non-GPT-4 model in the GPT-4 scaling law experiment? | Manifold

Is code-davinci-002 just the largest non-GPT-4 model in the GPT-4 scaling law experiment?

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Feb 17

44%

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1W

1M

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https://arxiv.org/pdf/2303.08774.pdf

Resolves Yes/No when I have >90% confidence.

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It's 4 orders of magnitude less compute than GPT-4! GPT-3 was 2 OOMs less compute.

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Related questions

Will GPT-5 have more than 5 trillion parameters?

Will GPT-5 have more than 10 trillion parameters?

What will be true about GPT-5?

Is GPT-4 best? (Thru 2025)

Will GPT-4 be trained (roughly) compute-optimally using the best-known scaling laws at the time?

What will be true about GPT-5? (See description)

If we find out in 2024, was o1's Transformer base trained on 10+x as much compute as GPT-4's?

Will GPT-4 improve on the Chinchilla scaling law?

Will the performance jump from GPT4->GPT5 be less than the one from GPT3->GPT4?

What hardware will GPT-5 be trained on?

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