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Path: ...!fu-berlin.de!uni-berlin.de!individual.net!not-for-mail From: rbowman <bowman@montana.com> Newsgroups: comp.os.linux.misc Subject: Re: Well DUH ! AI People Finally Realize They Can Ditch Most Floating-Point for Big Ints Date: 15 Oct 2024 19:20:32 GMT Lines: 17 Message-ID: <ln7tk0FijhpU1@mid.individual.net> References: <YPKdnaTfaLzAq5b6nZ2dnZfqnPidnZ2d@earthlink.com> <veg8cq$k36i$1@dont-email.me> <LpScnb7e54pgk5P6nZ2dnZfqn_qdnZ2d@earthlink.com> Mime-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit X-Trace: individual.net HFoTFb+5Y0yngSie3LE+BgRJ4/Wr56s9CQCK+3sjx5awN0xOHY Cancel-Lock: sha1:popUQtQeJXqailKL2pps5BD0Rdw= sha256:I/2k3kv963ri6oQkk3L8a855t+nj3sBKhamSCHxvM7A= User-Agent: Pan/0.149 (Bellevue; 4c157ba) Bytes: 1678 On Tue, 15 Oct 2024 02:43:08 -0400, 186282@ud0s4.net wrote: > The question is how EXACT the precision HAS to be for most "AI" uses. > Might be safe to throw away a few decimal points at the bottom. It's usually referred to as 'machine learning' rather than AI but when you look at TinyML on edge devices doing image recognition, wake word processing, and other tasks it's impressive how much you can throw away and still get a reasonable quality of results. https://www.tinyml.org/ This goes back to the slide rule days. Sure, you could whip out your book of six place tables and get seemingly more accurate results but did all those decimal places mean anything in the real world? Computers took the pain out of calculations but also tended to avoid the questions of 'what does this really mean in the real world'.