Remove 2013 Remove Data Collection Remove Testing Remove Unstructured Data
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Preprocess and fine-tune LLMs quickly and cost-effectively using Amazon EMR Serverless and Amazon SageMaker

AWS Big Data

It includes massive amounts of unstructured data in multiple languages, starting from 2008 and reaching the petabyte level. In the training of GPT-3, the Common Crawl dataset accounts for 60% of its training data, as shown in the following diagram (source: Language Models are Few-Shot Learners ). It is continuously updated.