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README.md
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The goal of the Frugal AI Challenge is to encourage both academic and industry actors to keep efficiency in mind when deploying AI models.
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By tracking both energy consumption and performance for different AI for climate tasks, we can incentivize frugality in AI deployment while also addressing real-world challenges.
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We have chosen three tasks across three modalities, all of which are useful in the global fight against the climate crisis: detecting climate disinformation, classifying regions at risk of wildfires, and detecting illegal deforestation. We will evaluate both performance and efficiency on each of the datasets, based on the real-world constraints of each task and the energy used.
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We will announce more details about the tasks and release the datasets soon!
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