Today's AI systems rely heavily on data; for example, ChatGPT requires ample data for training. Large language models face data scarcity due to copyright issues, leading to exploration of synthetic data alternatives.
Weather forecasting is benefiting from the rich dataset of ERA5, a comprehensive collection of global atmospheric, land, and oceanic weather data dating back to 1940. This data, originally not for AI, is now crucial for training weather prediction models.
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