From Google: 2024-08-24 18:20:39

The hidden costs of training AI models are becoming increasingly burdensome for businesses. According to a recent study, training a large-scale language model like GPT-3 can cost as much as $4.6 million. These costs are often overlooked in the rush to develop cutting-edge AI technology.

Businesses that use AI training models are also facing challenges with energy consumption. Training one high-performance AI model can produce as much carbon emissions as five cars in their lifetime. This issue is particularly concerning as the demand for AI technologies continues to grow.

Additionally, the data storage requirements for AI training models are massive. A single GPT-3 model can consume up to 22 kilowatt-hours of energy, which is equivalent to the electricity used by an average household in the United States over the course of a week. Businesses must consider the environmental impact of their AI projects.

In light of these hidden costs, companies are beginning to rethink their approach to AI development. Some are exploring new techniques to reduce the energy consumption and carbon footprint of training models. As AI technology becomes more prevalent, it is crucial for businesses to consider the long-term sustainability of their AI projects.



Read more at Google: The hidden costs of AI training models – Cryptopolitan