AWS Machine Learning Blog

SEPTEMBER 27, 2024

We can also gain an understanding of data presented in charts and graphs by asking questions related to business intelligence (BI) tasks, such as “What is the sales trend for 2023 for company A in the enterprise market?” AWS Fargate is the compute engine for web application. This allows you to experiment quickly with new designs.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

With a user base of over 37 million active consumers and 2 million monthly active Dashers at the end of 2023, the company recognized the need to reduce the burden on its live agents by providing a more efficient self-service experience for Dashers. seconds or less.

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AssemblyAI

JUNE 27, 2023

Over the past decade, we've witnessed significant advancements in AI-powered audio generation techniques, including music and speech synthesis. Listen to the following short audio clip: Guitar solo 0:00 / 0:09 1× This was generated in a handful of seconds by Google’s audio-generative model MusicLM.

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AWS Machine Learning Blog

APRIL 23, 2024

We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode and Docker support. ML model development often involves slow iteration cycles as developers switch between coding, training, and deployment.

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AWS Machine Learning Blog

SEPTEMBER 26, 2023

Proprietary algorithms: If you’ve developed your own proprietary algorithms inhouse, then you’ll need a custom container to deploy them on Amazon SageMaker. Additionally, local build of the individual containers helps in the iterative process of development and testing with favorite tools and Integrated Development Environments (IDEs).

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AWS Machine Learning Blog

SEPTEMBER 7, 2023

In February 2022, Amazon Web Services added support for NVIDIA GPU metrics in Amazon CloudWatch , making it possible to push metrics from the Amazon CloudWatch Agent to Amazon CloudWatch and monitor your code for optimal GPU utilization. Then we explore two architectures. already installed. We will refer to it as “aws-do-eks shell”.

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