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The AIgent: Using Google’s BERT Language Model to Connect Writers & Representation

Insight

In 2013, Robert Galbraith?—?an In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book? an aspiring author?—?finished

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Preprocess and fine-tune LLMs quickly and cost-effectively using Amazon EMR Serverless and Amazon SageMaker

AWS Big Data

Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET). Data collected after 2013 is stored in WARC format and includes corresponding metadata (WAT) and text extraction data (WET).

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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In our case, every table, every slide that comes from a piece of data, has to pass the so what test. simplification and 2.

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Using DataOps to Drive Agility and Business Value

DataKitchen

Chapin shared that even though GE had embraced agile practices since 2013, the company still struggled with massive amounts of legacy systems. GE formed its Digital League to create a data culture. Automate the data collection and cleansing process. Success Requires Focus on Business Outcomes, Benchmarking.

ROI 211
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Eight Silly Data Things Marketing People Believe That Get Them Fired.

Occam's Razor

Some absolutely did not use data to do their digital jobs. A benchmark for you: In 2013 if 30% of your time, Ms./Mr. Marketer, is not spent with data you''ll fail to achieve professional success.]. Many used some data, but they unfortunately used silly data strategies/metrics. You'll get fired.

Marketing 166
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What Is Embedded Analytics?

Jet Global

In the past, data visualizations were a powerful way to differentiate a software application. Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. Let’s just give our customers access to the data. Their dashboards were visually stunning.