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The computational cost alone can easily run into the millions of dollars to train models with hundreds of billions of parameters on massive datasets using thousands of GPUs or TPUs. The automated data processing and API calling also enables FM to deliver updated, tailored answers and perform actual tasks by using proprietary knowledge.
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