On 30 Apr 2026 02:11, Peter Taraba via Boost wrote:
> Use? Imagine you have really hard decision and your models tell you 50%
> result... in that case you need higher precision so you know if you
> should do it or not. Some decisions are really hard...
Would it make a difference if a more precise model gave a 50.1% vs.
49.9% outcome? Not saying higher precision is not useful, just that the
application in AI models seems questionable. My understanding is that
having more parameters is generally more preferable to
precision/quantization in terms of the model quality.
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