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Model accuracy goes up as you use heavier models. Accuracy is always preferable and the jump from Flash to Pro is considerable. You must rely on your own inter
by simianwords 1y ago
Model accuracy goes up as you use heavier models. Accuracy is always preferable and the jump from Flash to Pro is considerable.
You must rely on your own internal model in your head to verify the answers it gives.
On hallucination: it is a problem but again, it reduces as you use heavier models.
- Macha 1y ago> You must rely on your own internal model in your head to verify the answers it gives This is what significantly reduces the utility, if it can only be trusted to answer things I know the answer to, why would I ask it anything?
- simianwords 1y agoits the same reason I find it useful to read comments in Reddit, ask people their advice and opinions. I have written about it here: https://news.ycombinator.com/item?id=44712300 https://news.ycombinator.com/item?id=44712300
- rockemsockem 1y agoVerification is often easier/faster than coming up with the answer totally
- simianwords 1y agotrue! generation of an answer is much harder than verification. i wonder if a parallel can be drawn to P vs NP problem.