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Small fix in intro

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Derek Christ
2024-03-10 19:13:19 +01:00
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src/chapters/introduction.tex
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@@ -7,7 +7,7 @@ Composed of multiple layers of interconnected nodes that mimic a network of neur
Consequently, \acp{dnn} make it possible to tackle many new classes of problems that were previously beyond the reach of conventional algorithms. Consequently, \acp{dnn} make it possible to tackle many new classes of problems that were previously beyond the reach of conventional algorithms.
However, the ever-increasing use of these technologies poses new challenges on hardware architectures, as the energy required to train and run these models reaches unprecedented levels. However, the ever-increasing use of these technologies poses new challenges on hardware architectures, as the energy required to train and run these models reaches unprecedented levels.
Recently published numbers approximate that the development and training of Meta's LLaMA model over a period of about five months consumed around $\qty{2638}{\mega\watt\hour}$ of electrical energy and caused a total emission of $\qty{1015}{tCO_2eq}$ \cite{touvron2023}. Recently published numbers approximate that the development and training of Meta's LLaMA model consumed around $\qty{2638}{\mega\watt\hour}$ of electrical energy over a period of about five months and caused a total emission of $\qty{1015}{tCO_2eq}$ \cite{touvron2023}.
As these numbers are expected to increase in the future, it is clear that the energy footprint of current deployment of \ac{ai} applications is not sustainable \cite{blott2023}. As these numbers are expected to increase in the future, it is clear that the energy footprint of current deployment of \ac{ai} applications is not sustainable \cite{blott2023}.
In a more general view, the energy demand of computing for new applications continues to grow exponentially, doubling about every two years, while the world's energy production only grows linearly, at about $\qty{2}{\percent}$ per year \cite{src2021}, which is shown in \cref{plt:enery_chart}. In a more general view, the energy demand of computing for new applications continues to grow exponentially, doubling about every two years, while the world's energy production only grows linearly, at about $\qty{2}{\percent}$ per year \cite{src2021}, which is shown in \cref{plt:enery_chart}.