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Does Coronavirus Have You Working From Home?
Many Australian businesses are gearing themselves up to move their employees to work from home due to the coronavirus outbreak.
While this does seem an awfully appealing prospect (no peak hour, no make up, use of our own bathroom & company from our four legged friends) there are certainly challenges.
One such challenge is how we stay in touch with our colleges and customers. We can't just call across the office or have a catch up perched on our workmates desk. We need to keep working, because the bills will keep coming (disappointing but there it is), so how can we keep the wheels turning?
Never before have we been so connected. Now granted, at times, we wish we weren't (weekend emails, seeing other peoples Facebook holiday posts while we are at work), but had you suggested 20 years ago you could run your whole office with any number of employees from their own homes, or from wherever they choose, it would have seemed like the stuff of fiction. But that is exactly where we are now. With VoIP (Voice Over Internet Protocol) and phone systems that are hosted in the cloud, we don't need to rely on traditional onsite phone systems.
With your PABX hosted in the cloud, you can have all your employees work from home and run your office as you would if you were all together in a brick and mortar location. That means your calls come to the reception phone as usual. The calls are transferred to the relevant employee as usual and all the usual phone system features you use can still be deployed.
Pretty great huh? What's better is that you can be up and running in around 60 minutes, with a system customised for you.
Super versatile, scalable, flexible and feature rich, now is the perfect time to upgrade your business phone system to a hosted platform.
Things are certainly a bit tricky at the moment, but I guess for me, if I can keep paying the bills, then that is a big concern off my mind. To keep you working and paying your bills, contact us to see if we can help you.
My sincerest hope is the resolution to this crisis is sooner rather than later. Until then stay well, look out for our vulnerable, enjoy Netflix and remember, this too shall pass.
Robyn
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Dauner explained. “But this just makes their responses even longer, expending more energy to generate each word.”
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’t need an explanation at all.
Most important, Dauner’s 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.
“Task-specific models are often much smaller and more efficient, and just as good at any context-specific task,” Luccioni explained.
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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 — online encyclopedias and phone calculators — to accomplish simple tasks.
Why it’s hard to measure AI’s 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’s proximity to local energy grids and the hardware used to run AI models.
That’s partly why the researchers chose to represent carbon emissions within a range, Dauner said.
Furthermore, many AI companies don’t share information about their energy consumption — 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’s water consumption.
“You can’t really say AI consumes this much energy or water on average — that’s just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,” Ren said.
One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested.
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