The provided text explains the growing prevalence of foundation models in artificial intelligence. These models are large-scale neural networks trained on massive datasets, enabling them to perform various tasks through transfer learning. The text highlights the NASA Geospatial Model, developed in collaboration with IBM, which uses satellite imagery to predict climate-related events like floods and wildfires. This model serves as an example of how foundation models can be fine-tuned to address specific needs and applications across diverse fields, thus contributing to the proliferation of such models.
https://youtu.be/QPQy7jUpmyA?si=l1hKaYHyUFgMmKiR

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