Estimating the Increase in Emissions caused by AI-augmented Search
Fuente:
arXiv
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866912177136336896 |
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| author | Vanderbauwhede, Wim |
| author_facet | Vanderbauwhede, Wim |
| contents | AI-generated answers to conventional search queries dramatically increase the energy consumption. By our estimates, energy demand increase by 60-70 times. This is a based on an updated estimate of energy consumption for conventional search and recent work on the energy demand of queries to the BLOOM model, a 176B parameter model, and OpenAI's GPT-3, which is of similar complexity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_16894 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Estimating the Increase in Emissions caused by AI-augmented Search Vanderbauwhede, Wim Computers and Society Artificial Intelligence I.2.0 AI-generated answers to conventional search queries dramatically increase the energy consumption. By our estimates, energy demand increase by 60-70 times. This is a based on an updated estimate of energy consumption for conventional search and recent work on the energy demand of queries to the BLOOM model, a 176B parameter model, and OpenAI's GPT-3, which is of similar complexity. |
| title | Estimating the Increase in Emissions caused by AI-augmented Search |
| topic | Computers and Society Artificial Intelligence I.2.0 |
| url | https://arxiv.org/abs/2407.16894 |