30 Apr
2026
30 Apr
'26
12:26 a.m.
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.