Category: ML / NLP

December 29, 2020 Greggory Elias No comments exist

Tutorial: How to pre-train ELECTRA for Spanish from Scratch Originally published by Skim AI’s Machine Learning Researcher, Chris Tran. Introduction This article is on how pre-train ELECTRA, another member of the Transformer pre-training method family, for Spanish to achieve state-of-the-art results in Natural Language Processing benchmarks. It is Part III in a series on training…

December 28, 2020 Greggory Elias

Tutorial: How to Fine-Tune BERT for Extractive Summarization Originally published by Skim AI’s Machine Learning Researcher, Chris Tran 1. Introduction Summarization has long been a challenge in Natural Language Processing. To generate a short version of a document while retaining its most important information, we need a model capable of accurately extracting the key points…

December 11, 2020 Greggory Elias

8 Ways News & Content Companies use A.I. to Save Money and Improve UX The best way to understand the impact of technology is to understand the specifics, examples of how to actually apply technology to solve current problems. The following are 8 common AI Solutions our clients in Newspapers, Magazines, Content and Digital Media…

December 9, 2020 Greggory Elias

6 Problems AI is Good At Solving Over 85% of data science projects fail to go beyond testing and into production. If everyone is starting a Machine Learning / Artificial Intelligence project, where is it going wrong?      With this post it should help you to focus on the types of problems that AI…

July 27, 2020 Greggory Elias No comments exist

Natural Language Generation and Its Business Applications <h1>Natural Language Generation (NLG)</h1> As a continued exploration of AI Authors and Robot-Generated news, it is worthwhile to explore some of the technology driving these algorithms. AI designed to generate documents that read like a human wrote them rely on Natural Language Generation (NLG) algorithms. NLG algorithms are…

March 20, 2020 Greggory Elias

10 Questions to Ask Before Starting a Machine Learning Project Over 80% of data science projects fail to go beyond testing and into production. If everyone is starting a machine learning project, where is it going wrong? Undoubtedly, ML solutions increase efficiencies for those who are in the business of gathering or analyzing large swaths…

January 30, 2020 Asya Sharrow No comments exist

The new wave in journalism – robot writers? So, how prevalent are robot reporters? What dangers do robot reports pose? What is the likelihood that the article you are reading wasn’t written by a human? A 2015 report stated the AP was generating about 3,000 articles a quarter, all related to financial and business reports….