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Generative AI headlines are outpacing enterprise adoption

CIO Business Intelligence

Many CIOs have become the de facto generative AI professor and spent ample time developing 101 materials and conducting roadshows to build awareness, explain how generative AI differs from machine learning, and discuss the inherent risks. According to Ronanki, they aspired to replace human doctors with machines in diagnosing cancer.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.

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

Insight

In 2013, Robert Galbraith?—?an After some experimentation, I landed on a strategy I’ll call ‘warm encoding’: if greater than 1% of tags were in a particular class, I encoded the book as belonging to that class, non-exclusively. an aspiring author?—?finished finished his first novel, Cuckoo’s Calling. In other words, if 0.1%

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

word2vec is an unsupervised learning technique—that is, it is applied to a corpus of natural language without making use of any labels that may or may not happen to exist for the corpus. Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. Note: Mikolov, T.,