Re: Seeking Endorsement: Boost.int128
Peter Taraba via Boost <[email protected]>
| Newsgroups | gmane.comp.lib.boost.devel |
|---|---|
| Message-ID | <trinity-fffd1f7c-d897-4101-a927-56646d8eb105-1777508993803@3c-app-mailcom-lxa13> |
imagine you are president of USA and you have to make decision. knowing answer is 50.000001% (decision is yes) is better than 50% (no clue if decision is yes or no). Best, Peter Sent: Wednesday, April 29, 2026 at 5:26 PM From: "Andrey Semashev via Boost" <[email protected]> To: "Boost developers' mailing list" <[email protected]> Cc: "Andrey Semashev" <[email protected]> Subject: [boost] Re: Seeking Endorsement: Boost.int128 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. _______________________________________________ Boost mailing list -- [email protected] To unsubscribe send an email to [email protected] https://lists.boost.org/mailman3/lists/boost.lists.boost.org/ Archived at: https://lists.boost.org/archives/list/[email protected]/message/HA5WN5XBZNP7QRY7OGPG7VEJPTTTA3PV/ _______________________________________________ Boost mailing list -- [email protected] To unsubscribe send an email to [email protected] https://lists.boost.org/mailman3/lists/boost.lists.boost.org/ Archived at: https://lists.boost.org/archives/list/[email protected]/message/ZZ5YEM344RYO4RTXS7ZRUVUN5XH5XWMA/