All posts by Andrew Chang

State-of-the-art NLP made easy with AdaptNLP

Natural Language Processing (NLP) has advanced significantly since 2018, when ULMFiT and Google’s release of the BERT language model approached human-level performance on a range of use cases. Since then, several models, such as XLM, GPT-2, XLNet, and ALBERT, have been released in quick succession, each improving on its predecessors. While these state-of-the-art models can solve human-level, language-based […]

BASELINE • December 2019

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 […]

Meet NovettaNLP: where AdaptNLP was born

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 […]