[8169] 窶廣I expends a lot of energy being polite, especially if the user is polite, saying 窶湾lease窶 and 窶thank you,窶吮
投稿者:Vincentves
投稿日:2025/07/03(Thu) 16:26:41  |
|
 |
窶廣I expends a lot of energy being polite, especially if the user is polite, saying 窶湾lease窶 and 窶thank you,窶吮 <a href=https://tripscan.biz>tripscan ミイミセミケムひク</a> Dauner explained. 窶廝ut this just makes their responses even longer, expending more energy to generate each word.窶 For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don窶冲 need an explanation at all. Most important, Dauner窶冱 study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task. 窶弋ask-specific models are often much smaller and more efficient, and just as good at any context-specific task,窶 Luccioni explained. https://tripscan.biz tripscan ミイミセミケムひク If you are a software engineer who solves complex coding problems every day, an AI model suited for coding may be necessary. But for the average high school student who wants help with homework, relying on powerful AI tools is like using a nuclear-powered digital calculator. Even within the same AI company, different model offerings can vary in their reasoning power, so research what capabilities best suit your needs, Dauner said. When possible, Luccioni recommends going back to basic sources 窶 online encyclopedias and phone calculators 窶 to accomplish simple tasks. Why it窶冱 hard to measure AI窶冱 environmental impact Putting a number on the environmental impact of AI has proved challenging. The study noted that energy consumption can vary based on the user窶冱 proximity to local energy grids and the hardware used to run AI models. That窶冱 partly why the researchers chose to represent carbon emissions within a range, Dauner said. Furthermore, many AI companies don窶冲 share information about their energy consumption 窶 or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI窶冱 water consumption. 窶弸ou can窶冲 really say AI consumes this much energy or water on average 窶 that窶冱 just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,窶 Ren said. One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested. |
|