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As AI becomes integrated with many businesses, organizations, and nonprofits, new dilemmas arise beyond just productivity and efficiency. Responsible AI is paramount to successful AI implementation, ensuring that the algorithms are not just unbiased and objective, but represent the most accurate and current data possible. At... Read more
The Azure Machine Learning team is excited to announce the public preview of Azure Arc-enabled Machine Learning for inference. This builds on our training preview, enabling customers to deploy and serve models in any infrastructure on-premises and across multi-cloud using Kubernetes. With a simple AzureML extension... Read more
Since the beginning of the COVID pandemic, there have been more than 700000 scientific papers published on the subject. A human researcher cannot possibly get acquainted with such a huge text corpus — and therefore some help from AI is highly needed. In this post, we... Read more
Recently, Microsoft and PyTorch announced a “PyTorch Fundamentals” tutorial, which you can find on Microsoft’s site and on PyTorch’s site. The code in this post is based on the code appearing in that tutorial, and forms the foundation for a series of other posts, where I’ll explore other... Read more
In this blog, we are going to take a look at TorchServe, a feature-rich framework for serving machine learning models. We will go through a variety of experiments to test the performance on different operating systems, thread settings, and a number of workers to discover the... Read more
This tutorial demonstrates a few features of PyTorch Profiler that have been released in v1.9. PyTorch. Profiler is a set of tools that allow you to measure the training performance and resource consumption of your PyTorch model. This tool will help you diagnose and fix machine learning performance issues regardless of whether you are working on one or... Read more
In the previous post you got an overview about interpretability, and the different explainers available in the Interpret-Text tool. In this post, you will get an understanding of how to use one of the explainers: Unified Information Explainer. The Unified Information Explainer can be used when a... Read more
In the previous post, you got an overview about interpretability, and the different explainers available in the Interpret-Text tool. In this post you will get an understanding of how to use one of the explainers: Introspective Rationale Explainer. To generate an outstanding text fragment of important features... Read more
In the previous post you got an overview of interpretability, and the different explainers available in the Interpret-Text tool. In this post, you will get an understanding of how to use one of the explainers: Classical Text Explainer. The Classical Text Explainer is an interpretability technique used... Read more
This post was written by Morgan Funtowicz from Hugging Face and Tianlei Wu from Microsoft Transformer models have taken the world of natural language processing (NLP) by storm. They went from beating all the research benchmarks to getting adopted for production by a growing number of companies in a record... Read more