AWS FeedEmbracing natural language processing with Hugging Face In a previous post, I talked about how open source projects often work backwards from a specific problem or challenge, as one of their key motivators. In this post, I’ll explore another area where open source projects emerge: the need to follow an area of interest, a…
AWS FeedIntegrating Amazon Polly with legacy IVR systems by converting output to WAV format Amazon Web Services (AWS) offers a rich stack of artificial intelligence (AI) and machine learning (ML) services that help automate several components of the customer service industry. Amazon Polly, an AI generated text-to-speech service, enables you to automate and scale your…
AWS FeedUtilizing XGBoost training reports to improve your models In 2019, AWS unveiled Amazon SageMaker Debugger, a SageMaker capability that enables you to automatically detect a variety of issues that may arise while a model is being trained. SageMaker Debugger captures model state data at specified intervals during a training job. With this data, SageMaker…
AWS FeedAmazon Elastic File System (Amazon EFS) is now available in the AWS Asia Pacific (Osaka) region Customers in the AWS Asia Pacific (Osaka) Region can now use Amazon Elastic File System (Amazon EFS).
AWS FeedIntegrating AWS Device Farm with your CI/CD pipeline to run cross-browser Selenium tests Continuously building, testing, and deploying your web application helps you release new features sooner and with fewer bugs. In this blog, you will create a continuous integration and continuous delivery (CI/CD) pipeline for a web app using AWS CodeStar services and…
AWS FeedEffective data lakes using AWS Lake Formation, Part 1: Getting started with governed tables Thousands of customers are building their data lakes on Amazon Simple Storage Service (Amazon S3). You can use AWS Lake Formation to build your data lakes easily—in a matter of days as opposed to months. However, there are still some…