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'Thirsty' AI: Training ChatGPT Required Enough Water to Fill a Nuclear Reactor's Cooling Tower, Study Finds
Gizmodo gizmodo.com
Popular large language models (LLMs) like OpenAI’s ChatGPT and Google’s Bard are energy-intensive, requiring massive server farms to provide enough data to train the powerful programs. Cooling those same data centers also makes the AI chatbots incredibly thirsty. New research suggests training for GPT-3 alone consumed…
ai ai chatbots articles artificialintelligence bard chatbots chatgpt computationalneuroscience computing cooling data datacenter data centers energy environment google gpt gpt-3 lamda language language models large language models llms massive microsoft openai popular reactor research server study technology2cinternet training water