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Introducing Predicted Outputs—dramatically decrease latency for gpt-4o and gpt-4o-mini by providing a reference string. Speed up: - Updating a blog post in a doc - Iterating on prior responses - Rewriting code in an existing file, like Exponent here:

580,584 просмотров • 1 год назад •via X (Twitter)

Комментарии: 10

Фото профиля OpenAI Developers
OpenAI Developers1 год назад

See @FactoryAI's results:

Фото профиля Nick Dobos
Nick Dobos1 год назад

@exponent_run Will this fix the GPT-4o repeating the same code back with no changes bug!?!? If you predict the previous code back in and specifically omit the commentary in the prediction, then I think it would have no choice but to edit the code!? Cuz it can’t edit the commentary??

Фото профиля HudZah ⁂
HudZah ⁂1 год назад

@exponent_run curious to see how this will work with @cursor_ai's composer mode

Фото профиля The Canaanite
The Canaanite1 год назад

@exponent_run @cursor_ai for the love of the almightly, we need this lol.

Фото профиля 🍓🍓🍓
🍓🍓🍓1 год назад

@exponent_run incredible work 🍓

Фото профиля Garrett of DeepwriterAI
Garrett of DeepwriterAI1 год назад

@exponent_run This will be very useful on my for some of the internal steps, each with 60k+ tokens/call x dozens of calls/generated paper or book. Significant.

Фото профиля AK
AK1 год назад

@exponent_run fastest way to make web apps with openai api:

Фото профиля Itay Bachman
Itay Bachman1 год назад

@exponent_run Anthropic has left the chat

Фото профиля Pseudonym 🦅
Pseudonym 🦅1 год назад

@exponent_run We can go faster.

Фото профиля Chase Brower
Chase Brower1 год назад

@exponent_run Am I understanding this correctly that you are charged for the whole prediction text you give? So this improves latency but will still be just as costly as having it generate the entire output text?

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