Preparing for future health emergencies with Azure HPC
TutoSartup excerpt from this article:
A once-in-a-century global health emergency accelerates worldwide healthcare innovation and novel medical breakthroughs, all supported by powerful high-performance computing (HPC) capabilities... To this day, it continues to affect and shape how countries respond to health emergencies...COVID-19 was the largest global health emergency in over a century, with nearly 762 million cases report...
A once-in-a-century global health emergency accelerates worldwide healthcare innovation and novel medical breakthroughs, all supported by powerful high-performance computing (HPC) capabilities... To this day, it continues to affect and shape how countries respond to health emergencies...COVID-19 was the largest global health emergency in over a century, with nearly 762 million cases report...
Hosting ML Models on Amazon SageMaker using Triton: XGBoost, LightGBM, and Treelite Models
TutoSartup excerpt from this article:
One of the most popular models available today is XGBoost... With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models... In this post, we dive deep to see how Amazon SageMaker can serve these models using NVIDIA Triton Inference Server... SageMaker provides single model endpoints, w...
One of the most popular models available today is XGBoost... With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models... In this post, we dive deep to see how Amazon SageMaker can serve these models using NVIDIA Triton Inference Server... SageMaker provides single model endpoints, w...
Bring your own ML model into Amazon SageMaker Canvas and generate accurate predictions
TutoSartup excerpt from this article:
You can use models to make predictions interactively and for batch scoring on bulk datasets... In this post, we showcase architectural patterns on how business teams can use ML models built anywhere by generating predictions in Canvas and achieve effective business outcomes... This integration of model development and sharing creates a tighter collaboration between business and data science tea...
You can use models to make predictions interactively and for batch scoring on bulk datasets... In this post, we showcase architectural patterns on how business teams can use ML models built anywhere by generating predictions in Canvas and achieve effective business outcomes... This integration of model development and sharing creates a tighter collaboration between business and data science tea...
Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart
TutoSartup excerpt from this article:
Today, we announce the availability of sample notebooks that demonstrate question answering tasks using a Retrieval Augmented Generation (RAG)-based approach with large language models (LLMs) in Amazon SageMaker JumpStart... JumpStart provides many pre-trained language models called foundation models that can help you perform tasks such as article summarization, question answering, and conversatio...
Today, we announce the availability of sample notebooks that demonstrate question answering tasks using a Retrieval Augmented Generation (RAG)-based approach with large language models (LLMs) in Amazon SageMaker JumpStart... JumpStart provides many pre-trained language models called foundation models that can help you perform tasks such as article summarization, question answering, and conversatio...
Week in Review – AWS Verified Access, Java 17, Amplify Flutter, Conferences, and More – May 1, 2023
TutoSartup excerpt from this article:
7, recommendations at cluster and storage virtual machine (SVM) levels, and discovery job events in Amazon EventBridge... Upcoming AWS Events And to finish this post, I recommend you check your calendars and sign up for these AWS events: AWS Serverless Innovation Day – Join us on May 17, 2023, for a virtual event hosted on the Twitch AWS channel... The local AWS User Group announced a one-da...
7, recommendations at cluster and storage virtual machine (SVM) levels, and discovery job events in Amazon EventBridge... Upcoming AWS Events And to finish this post, I recommend you check your calendars and sign up for these AWS events: AWS Serverless Innovation Day – Join us on May 17, 2023, for a virtual event hosted on the Twitch AWS channel... The local AWS User Group announced a one-da...
How to monitor the expiration of SAML identity provider certificates in an Amazon Cognito user pool
TutoSartup excerpt from this article:
const AWS = require('aws-sdk'); const { X509Certificate } = require('crypto'); const { XMLParser} = require("fast-xml-parser"); const https = require('https');exports...log("No certificates are expiring within " + expiryDays + " days"); } };function getMetadata(url) { return new Promise((resolve, reject) => { https...0', Label: 'HIGH' }, Types: [ ...
const AWS = require('aws-sdk'); const { X509Certificate } = require('crypto'); const { XMLParser} = require("fast-xml-parser"); const https = require('https');exports...log("No certificates are expiring within " + expiryDays + " days"); } };function getMetadata(url) { return new Promise((resolve, reject) => { https...0', Label: 'HIGH' }, Types: [ ...
Prepare image data with Amazon SageMaker Data Wrangler
TutoSartup excerpt from this article:
The rapid adoption of smart phones and other mobile platforms has generated an enormous amount of image data... Before you can use image data for labeling, training, or inference, it first needs to be cleaned (deduplicate, drop corrupted images or outliers, and so on), analyzed (such as group images based on certain attributes), standardized (resize, change orientation, standardize lighting and c...
The rapid adoption of smart phones and other mobile platforms has generated an enormous amount of image data... Before you can use image data for labeling, training, or inference, it first needs to be cleaned (deduplicate, drop corrupted images or outliers, and so on), analyzed (such as group images based on certain attributes), standardized (resize, change orientation, standardize lighting and c...