New OpenAI Feature: Predicted Outputs (simonwillison.net)

58 points by limoce 1y ago ↗ HN

11 comments

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If you use the Cursor IDE: the folks that wrote it talked about their use of speculative decoding to make "Apply" faster on the Lex Friedman podcast last month.

Here it is on YouTube, although you can also find it on Spotify and other podcast platforms:

https://youtu.be/oFfVt3S51T4?t=1206

afro88 1y ago ↗

For those that prefer text: it seems they use a weaker but faster model for the "predicted output" / speculation. Pretty smart.

pandada8 1y ago ↗

https://fireworks.ai/blog/cursor Fireworks AI has a blog about it.

[dead] user_james92 1y ago ↗

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[deleted] 1y ago ↗

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[dead] 768DataSeeker 1y ago ↗

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creativenolo 1y ago ↗

I found the OpenAI page to be more interesting https://platform.openai.com/docs/guides/latency-optimization...

msp26 1y ago ↗

It's incredibly well written. I can see this being very helpful for newcomers.

As for the Predicted Outputs feature, it looks incredibly useful in a few of my pipelines. Can't wait to test it out.

nunez 1y ago ↗

This is like the likely() and unlikely() macros in the Linux kernel! Huge speedup if you're right; small penalty if you're not.

digdugdirk 1y ago ↗

Any recommendations for high level overview/learning resources about this? It seems interesting, but like most Linux internals, things get real technical, real quick.