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This is highly useful.

I am prototyping new features where I work, on top of GPT3. To get it beyond fancy demos and actually delivering customer utility, you need a LOT of work to build in robustness and correctness.

Prompt chains is where I’ve landed at the moment. This library seems very relevant and timely.

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Is your usage of GPT3 user facing in realtime? When you implement prompt chains, doesn't the UX become really slow?

It works well if you continously provide progress to the user. In my specific use case, the data generated is progressively displayed to the user, and refined in many further chain steps. They see the evolution of this. So it feels like it's fast, but also that a bunch of work is happening.

Yes.

>you need a LOT of work to build in robustness and correctness.

While bias is the more politically charged problem, variance is the problem of the current iteration that needs to be solved.

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