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Why BERT is Not GPT

Towards AI

It all started with Word2Vec and N-Grams in 2013 as the most recent in language modelling. 2013 Word2Vec is a neural network model that uses n-grams by training on context windows of words. 2013 Word2Vec using n-grams was introduced by Mahajan, Patil, and Sankar in their 2013 paper titled, ‘Word2Vec Using Character N–Grams’.

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This AI newsletter is all you need #96

Towards AI

The models were trained on highly filtered web data and synthetic data (3.3T tokens) and traveled further along the path of data quality prioritization. Microsoft’s release of Phi-3 3.8B, 7B, and 14B has even more impressive benchmark scores relative to model size. The Pile, and SlimPajama.

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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

Making Data Observable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery. Bigeye’s data observability platform helps data science teams “measure, improve, and communicate data quality at any scale.”

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4 Risks of Storing Large Amounts of Unstructured Data

Dataversity

In 2013, the big data headline was the incredible statistic that 90% of all data in the history of the entire human race had been created in the previous two years. The amount of structured and unstructured data we’ve created was so mind-boggling that we deemed it […]. Click to learn more about author Gary Lyng.

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

And our unique approach to data management provides valuable metadata, lineage, and data quality alerts right in the flow of users’ analysis, while providing the security and governance you need. This means increased transparency and trust in data, so everyone has the right data at the right time for making decisions.

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From the Boots of a Former CDO

Precisely

It was at this point that I realized that BI initiatives were doomed to failure unless data quality management was taken in hand! Improving data quality, as a key element of any data strategy initiative, was therefore a subject that appealed to me, and one that would be important in the years to come.

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Fiori Apps Decoded: Common Misconceptions and Insights

Precisely

The Fiori apps that require the most manual effort for data entry are similar to the classic t-codes in SAPGUI. Fiori design doesn’t appear to have changed the fact that manual data entry can still be time-consuming and cumbersome. When SAP introduced Fiori in 2013, it launched with only 25 apps. And how many are commonly used?