An ML Newsletter from Novetta Welcome to the March 2020 installment of BASELINE, Novetta’s Machine Learning Newsletter, where we share thoughts on important advances in machine learning technologies. This month’s topics include: AdaptNLP, an open source framework for state-of-the-art Natural Language Processing (NLP) A new competition for geospatial AI applications […]
An ML Newsletter from Novetta Welcome to the February 2020 installment of BASELINE, Novetta’s Machine Learning Newsletter, where we discuss important advances in machine learning technologies. This month’s topics include: New breakthroughs in language models, including conversational AI Concise APIs that simplify model implementation Promising new approaches in computer vision […]
An ML Newsletter from Novetta Welcome to the January 2020 installment of BASELINE, Novetta’s Machine Learning Newsletter, where we share thoughts on important advances in machine learning technologies. This month’s topics include: New software tools that improve the process of developing machine learning models Improvements in language models, with some […]
An ML Newsletter from Novetta Welcome to the December 2019 installment of BASELINE, Novetta’s Machine Learning Newsletter, where we share thoughts on important advances in machine learning technologies. This month we discuss the following areas: At AWS re:Invent, new services and features relevant to our data science, image processing, and […]
An ML Newsletter from Novetta Welcome to the first Novetta Machine Learning Newsletter, where we will share thoughts on important advances in machine learning technologies. We’ll start with a few highlights that have impacted our work in 2019, including GPU-based acceleration of data tasks, the inflection point in performance on […]
A Powerful, Transformers-Based Framework for End-to-End Natural Language Processing Tasks BERT’s release in November 2018 marked an inflection point for Natural Language Processing (NLP), moving us closer to human-level performance on a range of use cases. Since then, many transformer-based language models, such as XLM, GPT-2, XLNet, and roBERTa, have been released, with each […]
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