Remove 2013 Remove Data Analytics Remove Testing Remove Unstructured Data
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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Fact: IBM built the world’s first data warehouse in the 1980’s. 2013: Google launches Google Compute Engine (IaaS), its own version of EC2. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. Businesses find the need to manage unstructured data efficiently as a major business problem.

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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.