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new Б17 психологи. 14  投稿者: Чат с психологом 投稿日:2025/07/02(Wed) 14:29 No.752520

На прием Клинцы. chat-s-psikhologom-v-telegramme.ru 201 оценок


new Интерьеры Кварт...  投稿者: JamesSer 投稿日:2025/07/02(Wed) 14:20 No.752519   HomePage

Используя данный сайт, вы принимаете условия "Пользовательского соглашения" и соглашаетесь с "Политикой конфиденциальности".
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сюда были эвакуированы члены Союза писателей СССР, в том числе и поэты Николай Асеев, Михаил Исаковский, Арсений Тарковский, писатели Александр Фадеев и Борис Пастернак https://balka.studio/dizajn-i-remont-pod-klyuch/
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Создадим концепцию, подберём мебель и отделочные материалы, сделаем чертежи и 3D-визуализацию https://balka.studio/dizain-proekt-apartamentov-10/


new 1win_bwon  投稿者: 1win_fwon 投稿日:2025/07/02(Wed) 14:08 No.752518   HomePage

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new An explosion of sea  投稿者: Curtisfloma 投稿日:2025/07/02(Wed) 14:07 No.752517

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new approveit.today u87  投稿者: MayGroup 投稿日:2025/07/02(Wed) 14:02 No.752516   HomePage

Вы допускаете ошибку. Могу это доказать. Пишите мне в PM, поговорим.
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new Blonde Girl With Ti  投稿者: novyjtop 投稿日:2025/07/02(Wed) 13:53 No.752514   HomePage

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new Study reveals how m  投稿者: Jamesped 投稿日:2025/07/02(Wed) 13:42 No.752513   HomePage

Study reveals how much energy AI uses to answer your questions
tripscan top
Whether it’s answering work emails or drafting wedding vows, generative artificial intelligence tools have become a trusty copilot in many people’s lives. But a growing body of research shows that for every problem AI solves, hidden environmental costs are racking up.

Each word in an AI prompt is broken down into clusters of numbers called “token IDs” and sent to massive data centers some larger than football fields powered by coal or natural gas plants. There, stacks of large computers generate responses through dozens of rapid calculations.

The whole process can take up to 10 times more energy to complete than a regular Google search, according to a frequently cited estimation by the Electric Power Research Institute.
https://tripscan.biz
tripskan
So, for each prompt you give AI, what’s the damage? To find out, researchers in Germany tested 14 large language model (LLM) AI systems by asking them both free-response and multiple-choice questions. Complex questions produced up to six times more carbon dioxide emissions than questions with concise answers.

In addition, “smarter” LLMs with more reasoning abilities produced up to 50 times more carbon emissions than simpler systems to answer the same question, the study reported.

“This shows us the tradeoff between energy consumption and the accuracy of model performance,” said Maximilian Dauner, a doctoral student at Hochschule Munchen University of Applied Sciences and first author of the Frontiers in Communication study published Wednesday.

Typically, these smarter, more energy intensive LLMs have tens of billions more parameters the biases used for processing token IDs than smaller, more concise models.

“You can think of it like a neural network in the brain. The more neuron connections, the more thinking you can do to answer a question,” Dauner said.
What you can do to reduce your carbon footprint
Complex questions require more energy in part because of the lengthy explanations many AI models are trained to provide, Dauner said. If you ask an AI chatbot to solve an algebra question for you, it may take you through the steps it took to find the answer, he said.


new Study reveals how m  投稿者: Jamesped 投稿日:2025/07/02(Wed) 13:42 No.752512   HomePage

Study reveals how much energy AI uses to answer your questions
tripscan top
Whether it’s answering work emails or drafting wedding vows, generative artificial intelligence tools have become a trusty copilot in many people’s lives. But a growing body of research shows that for every problem AI solves, hidden environmental costs are racking up.

Each word in an AI prompt is broken down into clusters of numbers called “token IDs” and sent to massive data centers some larger than football fields powered by coal or natural gas plants. There, stacks of large computers generate responses through dozens of rapid calculations.

The whole process can take up to 10 times more energy to complete than a regular Google search, according to a frequently cited estimation by the Electric Power Research Institute.
https://tripscan.biz
tripscan top
So, for each prompt you give AI, what’s the damage? To find out, researchers in Germany tested 14 large language model (LLM) AI systems by asking them both free-response and multiple-choice questions. Complex questions produced up to six times more carbon dioxide emissions than questions with concise answers.

In addition, “smarter” LLMs with more reasoning abilities produced up to 50 times more carbon emissions than simpler systems to answer the same question, the study reported.

“This shows us the tradeoff between energy consumption and the accuracy of model performance,” said Maximilian Dauner, a doctoral student at Hochschule Munchen University of Applied Sciences and first author of the Frontiers in Communication study published Wednesday.

Typically, these smarter, more energy intensive LLMs have tens of billions more parameters the biases used for processing token IDs than smaller, more concise models.

“You can think of it like a neural network in the brain. The more neuron connections, the more thinking you can do to answer a question,” Dauner said.
What you can do to reduce your carbon footprint
Complex questions require more energy in part because of the lengthy explanations many AI models are trained to provide, Dauner said. If you ask an AI chatbot to solve an algebra question for you, it may take you through the steps it took to find the answer, he said.


new Study reveals how m  投稿者: Jamesped 投稿日:2025/07/02(Wed) 13:42 No.752511   HomePage

Study reveals how much energy AI uses to answer your questions
tripskan
Whether it’s answering work emails or drafting wedding vows, generative artificial intelligence tools have become a trusty copilot in many people’s lives. But a growing body of research shows that for every problem AI solves, hidden environmental costs are racking up.

Each word in an AI prompt is broken down into clusters of numbers called “token IDs” and sent to massive data centers some larger than football fields powered by coal or natural gas plants. There, stacks of large computers generate responses through dozens of rapid calculations.

The whole process can take up to 10 times more energy to complete than a regular Google search, according to a frequently cited estimation by the Electric Power Research Institute.
https://tripscan.biz
tripscan
So, for each prompt you give AI, what’s the damage? To find out, researchers in Germany tested 14 large language model (LLM) AI systems by asking them both free-response and multiple-choice questions. Complex questions produced up to six times more carbon dioxide emissions than questions with concise answers.

In addition, “smarter” LLMs with more reasoning abilities produced up to 50 times more carbon emissions than simpler systems to answer the same question, the study reported.

“This shows us the tradeoff between energy consumption and the accuracy of model performance,” said Maximilian Dauner, a doctoral student at Hochschule Munchen University of Applied Sciences and first author of the Frontiers in Communication study published Wednesday.

Typically, these smarter, more energy intensive LLMs have tens of billions more parameters the biases used for processing token IDs than smaller, more concise models.

“You can think of it like a neural network in the brain. The more neuron connections, the more thinking you can do to answer a question,” Dauner said.
What you can do to reduce your carbon footprint
Complex questions require more energy in part because of the lengthy explanations many AI models are trained to provide, Dauner said. If you ask an AI chatbot to solve an algebra question for you, it may take you through the steps it took to find the answer, he said.


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