AWS Machine Learning Blog

JULY 8, 2024

With a strong portfolio of patented technologies and worldwide leading positions in advanced computing, security, AI, cloud, and digital platforms, Eviden provides deep expertise for a multitude of industries in more than 47 countries. The DREM solution empowers Eviden to seamlessly configure and manage their global AWS DeepRacer events.

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AWS Machine Learning Blog

NOVEMBER 29, 2024

For example, marketing and software as a service (SaaS) companies can personalize artificial intelligence and machine learning (AI/ML) applications using each of their customer’s images, art style, communication style, and documents to create campaigns and artifacts that represent them. For details, refer to Create an AWS account.

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Flipboard

APRIL 17, 2025

This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. The Salesforce AI Model Serving team is working to push the boundaries of natural language processing and AI capabilities for enterprise applications.

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AWS Machine Learning Blog

NOVEMBER 1, 2024

Amazon Q Business is a generative AI-powered assistant designed to enhance enterprise operations. Google Workspace users and groups are mapped to the _user_id and _group_ids fields associated with the Amazon Q Business application in AWS IAM Identity Center. You can have only one identity source per organization in AWS Organizations.

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MAY 29, 2025

It also comes with ready-to-deploy code samples to help you get started quickly with deploying GeoFMs in your own applications on AWS. For a full architecture diagram demonstrating how the flow can be implemented on AWS, see the accompanying GitHub repository. Lets dive in! Solution overview At the core of our solution is a GeoFM.

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O'Reilly Media

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases.

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AWS Machine Learning Blog

MARCH 4, 2024

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

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AWS Machine Learning Blog

OCTOBER 21, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning Blog

APRIL 7, 2025

Virginia) AWS Region. These models are designed for industry-leading performance in image and text understanding with support for 12 languages, enabling the creation of AI applications that bridge language barriers. With SageMaker AI, you can streamline the entire model deployment process.

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AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. M tokens/$) trained such models with AWS Trainium without losing any model quality. We’ll outline how we cost-effectively (3.2 billion in Pythia. billion in Pythia.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Founded in 2021, ThirdAI Corp. In this post, we investigate of potential for the AWS Graviton3 processor to accelerate neural network training for ThirdAI’s unique CPU-based deep learning engine. Instance types For our evaluation, we considered two comparable AWS CPU instances: a c6i.8xlarge 8xlarge powered by AWS Graviton3.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The ZMP analyzes billions of structured and unstructured data points to predict consumer intent by using sophisticated artificial intelligence (AI) to personalize experiences at scale. As an early adopter of large language model (LLM) technology, Zeta released Email Subject Line Generation in 2021.

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AWS Machine Learning Blog

DECEMBER 18, 2023

Artificial intelligence (AI) is one of the most transformational technologies of our generation and provides opportunities to be a force for good and drive economic growth. The AI industry reached an important milestone this week with the publication of ISO 42001.

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AWS Machine Learning Blog

JUNE 5, 2025

For an AI model to perform effectively in specialized domains, it requires access to relevant background knowledge. Prerequisites To implement the solution, complete the following prerequisite steps: Have an active AWS account. For instructions, refer to Create a role to delegate permissions to an AWS service.

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AWS Machine Learning Blog

MAY 10, 2023

Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter. In parallel to these open-source contributions, we have AWS product teams who are working to integrate Jupyter with products such as Amazon SageMaker.

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Towards AI

AUGUST 10, 2023

Last Updated on August 11, 2023 by Editorial Team Author(s): Tabrez Syed Originally published on Towards AI. As customers clamor for generative AI capabilities, cloud providers are scrambling to deploy LLMs and drive the adoption of their platforms. And AWS isn’t sitting idle on the LLM front, either.

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Flipboard

DECEMBER 18, 2024

In the rapidly evolving landscape of AI-powered search, organizations are looking to integrate large language models (LLMs) and embedding models with Amazon OpenSearch Service. Cohere is an AWS third-party model provider partner that provides advanced language AI models, including embeddings, language models, and reranking models.

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. This was the first and only APEJ-specific analyst evaluation focused on AI life-cycle software from IDC. AWS position.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

By harnessing the power of threat intelligence, machine learning (ML), and artificial intelligence (AI), Sophos delivers a comprehensive range of advanced products and services. The Sophos Artificial Intelligence (AI) group (SophosAI) oversees the development and maintenance of Sophos’s major ML security technology.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

In this post, we discuss how generative artificial intelligence (AI) can help health insurance plan members get the information they need. Generative AI technology, such as conversational AI assistants, can potentially solve this problem by allowing members to ask questions in their own words and receive accurate, personalized responses.

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

Generative artificial intelligence (AI) has revolutionized this by allowing users to interact with data through natural language queries, providing instant insights and visualizations without needing technical expertise. In this post, we share how Domo uses Amazon Bedrock to provide a flexible and powerful AI solution. experience.

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AWS Machine Learning Blog

SEPTEMBER 23, 2024

Launched in 2021, Amazon SageMaker Canvas is a visual point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without writing any code. This is crucial for compliance, security, and governance.

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AWS Machine Learning Blog

MARCH 30, 2023

Since Steffen Baumgart took over as coach at FC Köln in 2021, the team has managed to lift themselves from the bottom and has established a steady position in the middle of the table. The new Bundesliga Match Fact is the result of an in-depth analysis by a team of football experts and data scientists from the Bundesliga and AWS.

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AWS Machine Learning Blog

MARCH 1, 2023

In this post, we share how Kakao Games and the Amazon Machine Learning Solutions Lab teamed up to build a scalable and reliable LTV prediction solution by using AWS data and ML services such as AWS Glue and Amazon SageMaker. It was launched in June 2021 and has been ranked within the top three in revenue in Korea.

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Flipboard

FEBRUARY 28, 2025

This post explores the architectural design and security concepts employed by Radboud University Medical Center Nijmegen (Radboudumc) to build a secure artificial intelligence (AI) runtime environment on Amazon Web Services (AWS). Insights from the increasing amount of available data contribute to a high level of care.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code.

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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. For Account ID , enter the AWS account ID of the owner of the accepter VPC.

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Tableau

MAY 27, 2021

May 27, 2021 - 2:29pm. May 27, 2021. Dylan Tong, Global Segment Lead Architect, AI Augmented Analytics, AWS. At this critical inflection point, they need guidance on how to improve and strengthen AI and machine learning (ML). This solution is available as an AWS Quickstart to help you deploy quickly and easily.

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AWS Machine Learning Blog

SEPTEMBER 25, 2024

In the realm of generative artificial intelligence (AI) , Retrieval Augmented Generation (RAG) has emerged as a powerful technique, enabling foundation models (FMs) to use external knowledge sources for enhanced text generation. Choose the AWS Region where you want to create the bucket. Choose Create bucket.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. However, we’re not limited to using generative AI for only software engineering.

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AWS Machine Learning Blog

DECEMBER 12, 2023

The launch of ChatGPT and rise in popularity of generative AI have captured the imagination of customers who are curious about how they can use this technology to create new products and services on AWS, such as enterprise chatbots, which are more conversational. Optionally, deploy the application using AWS Amplify. and npm.

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AWS Machine Learning Blog

OCTOBER 24, 2023

NATIVE VISUAL VOICEMAIL DIALER FEATURING VOICEMAIL TO TEXT TRANSLATE FEATURE – ALL MODELS The history Two years ago, in 2021, T-Mobile engineering teams partnered with AWS to launch a new AI-powered feature called Voicemail to Text with automatic language detection and to improve quality and performance for customers.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity. Basic familiarity with SageMaker and AWS services that support LLMs. LangChain is a Python library designed to build applications with LLMs.

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AWS Machine Learning Blog

MAY 22, 2024

With the advancement of Generative AI , we can use vision-language models (VLMs) to predict product attributes directly from images. The inference workflow is then invoked through an AWS Lambda request, which first makes an HTTP request to the Sagemaker endpoint, and then uses that to make another request to Amazon Bedrock.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

Knowledge Bases for Amazon Bedrock Knowledge Bases for Amazon Bedrock is a serverless option to build powerful conversational AI systems using RAG. Note that you can also use Knowledge Bases for Amazon Bedrock service APIs and the AWS Command Line Interface (AWS CLI) to programmatically create a knowledge base.

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IBM Journey to AI blog

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

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