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Announcing provisioned concurrency for Amazon SageMaker Serverless Inference

Favorite Amazon SageMaker Serverless Inference allows you to serve model inference requests in real time without having to explicitly provision compute instances or configure scaling policies to handle traffic variations. You can let AWS handle the undifferentiated heavy lifting of managing the underlying infrastructure and save costs in the process.

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Shared by AWS Machine Learning May 9, 2023

What Is Open Governance? Drafting a charter for an Open Source project

Favorite Building a healthy Open Source community is much more than just choosing an Open Source license for the project. It involves creating a contributing guide, adopting a code of conduct, and establishing an open governance structure that allows all members to actively participate in and contribute to the project.

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Shared by voicesofopensource May 9, 2023

The "KM ROI" question – a problem, or an opportunity?

Favorite Your CEO comes to you and says “I like the idea of Knowledge Management, but you have to give me an ROI figure”. Is this a problem, or an opportunity? At first sight this is a problematic request, as the ROI for KM is notoriously difficult to predict. If

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Shared by Nick Milton May 9, 2023

Host ML models on Amazon SageMaker using Triton: TensorRT models

Favorite Sometimes it can be very beneficial to use tools such as compilers that can modify and compile your models for optimal inference performance. In this post, we explore TensorRT and how to use it with Amazon SageMaker inference using NVIDIA Triton Inference Server. We explore how TensorRT works and

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Shared by AWS Machine Learning May 8, 2023

Securing MLflow in AWS: Fine-grained access control with AWS native services

Favorite With Amazon SageMaker, you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. This post provides a solution tailored to customers that are already using MLflow, an

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Shared by AWS Machine Learning May 8, 2023

How 4 startups are using AI to solve climate change challenges

Favorite These startups are using AI to decarbonize buildings, create sustainable agriculture, protect biodiversity, and remove carbon from the atmosphere. View Original Source (blog.google/technology/ai/) Here.

Create high-quality datasets with Amazon SageMaker Ground Truth and FiftyOne

Favorite This is a joint post co-written by AWS and Voxel51. Voxel51 is the company behind FiftyOne, the open-source toolkit for building high-quality datasets and computer vision models. A retail company is building a mobile app to help customers buy clothes. To create this app, they need a high-quality dataset

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Shared by AWS Machine Learning May 5, 2023

Build an image search engine with Amazon Kendra and Amazon Rekognition

Favorite In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Specifically, we use the example of architecture diagrams for complex images due to their incorporation of numerous different visual icons and text. With the internet, searching and obtaining an

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Shared by AWS Machine Learning May 5, 2023

Details of the Webinar next Wednesday on the BSI guide to Knowledge Management

Favorite You can find a link to the Webinar announcement here and a button to register for a place. Date: 10 May 2023 Timing: 12.00 – 13.00 (BST) This webinar will focus on the recently published BS 34401:2022 Knowledge management. Application of BS ISO 30401. Guide and Executive Briefing and explain how your business

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Shared by Nick Milton May 5, 2023

Get started with generative AI on AWS using Amazon SageMaker JumpStart

Favorite Generative AI is gaining a lot of public attention at present, with talk around products such as GPT4, ChatGPT, DALL-E2, Bard, and many other AI technologies. Many customers have been asking for more information on AWS’s generative AI solutions. The aim of this post is to address those needs.

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Shared by AWS Machine Learning May 4, 2023

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