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0 pointsmoralestapia1y ago0 comments

>What makes you think the others are significantly different?

ChatGPT's prompt is on the order of 1k, if the leaks turn out to be real. Even that one seems a bit high for my taste, but they're the experts, not me.

>It’s logical to use the context to tell it what to do.

You probably don't know much about this, but no worries I can explain. You can train a model to "become" anything you want, if your default prompt starts to be measured in kilobytes, it might as well be better to re-train (obv. not re-train the same one, but v2.1 or whatever, train it with this in mind) and/or fine tune, because your model behaves quite different from what you want it to do.

I don't know the exact threshold, there might not even be one as training and LLM takes some sort of artisan skills, but if you need 24k just to boot the thing you're clearly doing something wrong, aside from the waste of resources.

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3 comments · 1 top-level

beardedwizard1y ago· 2 in thread

But this is the solution the most cutting edge llm research has yielded, how do you explain that? Are they just willfully ignorant at OpenAI and anthropic? If fine tuning is the answer why aren't the best doing it?

mcintyre19941y ago

I'd guess the benefit is that it's quicker/easier to experiment with the prompt? Claude has prompt caching, I'm not sure how efficient that is but they offer a discount on requests that make use of it. So it might be that that's efficient enough that it's worth the tradeoff for them?

Also I don't think much of this prompt is used in the API, and a bunch of it is enabling specific UI features like Artifacts. So if they re-use the same model for the API (I'm guessing they do but I don't know) then I guess they're limited in terms of fine tuning.

int_19h1y ago

Prompt caching is functionally identical to snapshotting the model after it processed the prompt. And you need the KV cache for inference in any case so it doesn't even cost extra memory to keep it around, if every single inference task is going to have the same prompt suffix.