AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. Based on a lookup against FIPS codes, the function moves the image into the curated data S3 bucket.

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AWS Machine Learning Blog

NOVEMBER 17, 2023

Amazon Rekognition Content Moderation , a capability of Amazon Rekognition , automates and streamlines image and video moderation workflows without requiring machine learning (ML) experience. You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo.

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AWS Machine Learning Blog

MARCH 31, 2023

Solution overview To tackle these challenges, the KYTC team reviewed several contact center solutions and collaborated with the AWS ProServe team to implement a cloud-based contact center and a virtual agent named Max. Amazon Lex and the AWS QnABot Amazon Lex is an AWS service for creating conversational interfaces.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud. at a minimum).

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Towards AI

MARCH 1, 2023

While many major tech companies are building their own alternative to ChatGPT, we are particularly excited to see open-source alternatives that can make next-generation LLM models more accessible, flexible, and affordable for the machine learning community. on a dedicated capacity.

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Flipboard

DECEMBER 6, 2023

needed to address some of these challenges in one of their many AI use cases built on AWS. This would have required a dedicated cross-disciplinary team with expertise in data science, machine learning, and domain knowledge. About the authors Tamer Soliman is a Senior Solutions Architect at AWS.

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AWS Machine Learning Blog

JANUARY 30, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) to generate highly accurate forecasts, without requiring any prior ML experience. Create a new AWS Identity and Access Management (IAM) role. The steps in this post demonstrated how to build the solution on the AWS Management Console.

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Pickl AI

DECEMBER 10, 2024

The systems architecture combines Oracles hardware expertise with software optimisation to deliver unmatched performance. Market Competition Oracle faces competition from alternative solutions like AWS, Microsoft Azure, and SAP HANA. Core Features Exalytics is engineered for speed and scalability.

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The MLOps Blog

MARCH 12, 2024

Machine Learning Operations (MLOps) vs Large Language Model Operations (LLMOps) LLMOps fall under MLOps (Machine Learning Operations). The following table provides a more detailed comparison: Task MLOps LLMOps Primary focus Developing and deploying machine-learning models. Specifically focused on LLMs.

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AWS Machine Learning Blog

AUGUST 15, 2023

The team successfully migrated a subset of self-managed ML models in the image moderation system for nudity and not safe for work (NSFW) content detection to the Amazon Rekognition Detect Moderation API, taking advantage of the highly accurate and comprehensive pre-trained moderation models.

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AWS Machine Learning Blog

MAY 23, 2023

With organizations increasingly investing in machine learning (ML), ML adoption has become an integral part of business transformation strategies. In this post, we start with an overview of MLOps and its benefits, describe a solution to simplify its implementations, and provide details on the architecture.

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Flipboard

JANUARY 15, 2025

The AWS global backbone network is the critical foundation enabling reliable and secure service delivery across AWS Regions. Specifically, we need to predict how changes to one part of the AWS global backbone network might affect traffic patterns and performance across the entire system.

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AWS Machine Learning Blog

NOVEMBER 12, 2024

This post describes how Agmatix uses Amazon Bedrock and AWS fully featured services to enhance the research process and development of higher-yielding seeds and sustainable molecules for global agriculture. AWS generative AI services provide a solution In addition to other AWS services, Agmatix uses Amazon Bedrock to solve these challenges.

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AWS Machine Learning Blog

JANUARY 28, 2025

This optimization is available in the US East (Ohio) AWS Region for select FMs, including Anthropics Claude 3.5 In this section, we explore how different system components and architectural decisions impact overall application responsiveness. Rupinder Grewal is a Senior AI/ML Specialist Solutions Architect with AWS.

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