AWS Machine Learning Blog

APRIL 7, 2025

With a dramatic increase on supported context length from 128K in Llama 3 , Llama 4 is now suitable for multi-document summarization, parsing extensive user activity for personalized tasks, and reasoning over extensive codebases. Virginia) AWS Region. An AWS Identity and Access Management (IAM) role to access SageMaker AI.

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AWS Machine Learning Blog

JULY 17, 2025

In this post, we walk through the custom model on-demand deployment workflow for Amazon Bedrock and provide step-by-step implementation guides using both the AWS Management Console and APIs or AWS SDKs. You can request quota increases by submitting a ticket or contacting your AWS account team.

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O'Reilly Media

NOVEMBER 26, 2024

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. To further complicate things, topics like cloud computing, software operations, and even AI don’t fit nicely within a university IT department.

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AWS Machine Learning Blog

JULY 11, 2025

Pre-training is highly resource-intensive, requiring substantial compute (often across thousands of GPUs or AWS Trainium chips), large-scale distributed training frameworks, and careful data curation to balance performance with bias, safety, and accuracy concerns. The following table summarizes the different types of PEFT.

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AWS Machine Learning Blog

JUNE 5, 2025

Challenges in traditional RAG In traditional RAG, documents are often divided into smaller chunks to optimize retrieval efficiency. 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

JUNE 26, 2025

Step 1: Configure Bedrock To begin, we’ll set up some constants and initialize a Python Bedrock client connection object using the Python Boto3 SDK for Bedrock runtime , which facilitates interaction with Bedrock: The REGION specifies the AWS region for model execution, while the MODEL_ID identifies the specific Bedrock model.

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AWS Machine Learning Blog

MAY 28, 2025

Amazon Bedrock Data Automation (BDA) enables the generation of useful insights from unstructured multimodal content such as documents, images, audio, and video for your AI-powered applications, and it can be used as a parser when setting up a knowledge base for Retrieval Augmented Generation (RAG) workflows.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

You can use Amazon FSx to lift and shift your on-premises Windows file server workloads to the cloud, taking advantage of the scalability, durability, and cost-effectiveness of AWS while maintaining full compatibility with your existing Windows applications and tooling. For a list of supported connectors, see Supported connectors.

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AWS Machine Learning Blog

MAY 16, 2025

With its intuitive interface and seamless integration with other AWS services, Amazon Q Business empowers businesses of different sizes to transform their data into actionable intelligence and drive innovation across their operations. Prerequisites Before you begin the walkthrough, you must have an AWS account. x standards.

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AWS Machine Learning Blog

APRIL 1, 2025

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. This post is the first in a series covering AWS MCP Servers.

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Pickl AI

DECEMBER 26, 2024

Cost Efficiency By utilizing cloud services, organisations can reduce costs related to maintaining their own data centers while benefiting from access to powerful computing capabilities on a pay-as-you-go basis. How Does Cloud Computing Support Generative AI?

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Flipboard

JUNE 9, 2025

However, a developer from Cloudflare sparked discussions when he used Claude to build something, while documenting the entire prompt process. What’s fascinating isn’t just the code—it’s that they documented every single prompt in their git commits, creating an archaeological record of human-AI collaboration,” Mitchell wrote on X. “AI

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AWS Machine Learning Blog

MARCH 19, 2025

At Amazon Web Services (AWS), we recognize that many of our customers rely on the familiar Microsoft Office suite of applications, including Word, Excel, and Outlook, as the backbone of their daily workflows. Using AWS, organizations can host and serve Office Add-ins for users worldwide with minimal infrastructure overhead.

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AWS Machine Learning Blog

APRIL 15, 2025

One of the critical challenges Clario faces when supporting its clients is the time-consuming process of generating documentation for clinical trials, which can take weeks. The content of these documents is largely derived from the Charter, with significant reformatting and rephrasing required.

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AWS Machine Learning Blog

JANUARY 13, 2025

Amazon Q Business as a web experience makes AWS best practices readily accessible, providing cloud-centered recommendations quickly and making it straightforward to access AWS service functions, limits, and implementations. For more on MuleSofts journey to cloud computing, refer to Why a Cloud Operating Model?

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AWS Machine Learning Blog

APRIL 9, 2025

They are available at no additional charge in AWS Regions where the Amazon Q Business service is offered. Log groups prefixed with /aws/vendedlogs/ will be created automatically. AWS follows an explicit deny overrides allow model, meaning that if you explicitly deny an action, it will take precedence over allow statements.

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Flipboard

JUNE 17, 2025

From summarizing complex legal documents to powering advanced chat-based assistants, AI capabilities are expanding at an increasing pace. The challenge: Analyzing unstructured enterprise documents at scale Despite the widespread adoption of AI, many enterprise AI projects fail due to poor data quality and inadequate controls.

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Flipboard

FEBRUARY 19, 2025

Our previous blog post, Anduril unleashes the power of RAG with enterprise search chatbot Alfred on AWS , highlighted how Anduril Industries revolutionized enterprise search with Alfred, their innovative chat-based assistant powered by Retrieval-Augmented Generation (RAG) architecture. Architectural diagram of Alfreds RAG implementation.

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Flipboard

MARCH 7, 2025

Mozart, the leading platform for creating and updating insurance forms, enables customers to organize, author, and file forms seamlessly, while its companion uses generative AI to compare policy documents and provide summaries of changes in minutes, cutting the change adoption time from days or weeks to minutes.

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Flipboard

JUNE 9, 2025

by Mohit Pandey India’s mission to build sovereign AI is slowly taking shape. EPAM Thinks You Should Rethink Your Data Stack for AI Navigating the Future of Talent Skills in a Transforming Business Landscape Latest AI News OpenAI Launches o3-pro, Delays Open-Weights Model Release Glean Raises $150M in Series F Round, Hits $7.2B

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Flipboard

APRIL 16, 2025

Solution overview The AI-powered asset inventory labeling solution aims to streamline the process of updating inventory databases by automatically extracting relevant information from asset labels through computer vision and generative AI capabilities. LLMs are large deep learning models that are pre-trained on vast amounts of data.

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Hacker News

JULY 1, 2025

On the backend we're using 100% Go with AWS primitives. We're looking for backend developers who like doing DevOps'y stuff sometimes (because in a way it's the spirit of our company), or have experience with the cloud native ecosystem. All on Serverless AWS. Profitable, 15+ yrs stable, 100% employee-owned.

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Dataconomy

MAY 19, 2023

DaaS in cloud computing has revolutionized the way organizations approach desktop management and user experience, ushering in a new era of flexibility, scalability, and efficiency. What is Desktop as a Service (DaaS) in cloud computing? Yes, Desktop as a Service is a specific type of Software as a Service (SaaS).

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AWS Machine Learning Blog

AUGUST 9, 2024

Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. In this collaboration, the AWS GenAIIC team created a RAG-based solution for Deltek to enable Q&A on single and multiple government solicitation documents.

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AWS Machine Learning Blog

MAY 1, 2024

This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. For documentation retrieval, Retrieval Augmented Generation (RAG) stands out as a key tool. Virginia) AWS Region. The following diagram illustrates the solution architecture.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

Legal professionals often spend a significant portion of their work searching through and analyzing large documents to draw insights, prepare arguments, create drafts, and compare documents. AWS AI and machine learning (ML) services help address these concerns within the industry. At AWS, security is our top priority.

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AWS Machine Learning Blog

JULY 10, 2024

During the last 18 months, we’ve launched more than twice as many machine learning (ML) and generative AI features into general availability than the other major cloud providers combined. Each application can be immediately scaled to thousands of users and is secure and fully managed by AWS, eliminating the need for any operational expertise.

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AWS Machine Learning Blog

MARCH 14, 2024

Generative AI with AWS The emergence of FMs is creating both opportunities and challenges for organizations looking to use these technologies. You can use AWS PrivateLink with Amazon Bedrock to establish private connectivity between your FMs and your VPC without exposing your traffic to the internet.

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Pickl AI

JANUARY 31, 2025

Summary: In this cloud computing notes we offers the numerous advantages for businesses, such as cost savings, scalability, enhanced collaboration, and improved security. Embracing cloud solutions can significantly enhance operational efficiency and drive innovation in today’s competitive landscape.

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Data Science Blog

SEPTEMBER 19, 2023

With the evolution of cloud computing, many organizations are now migrating their Data Warehouse Systems to the cloud for better scalability, flexibility, and cost-efficiency. Documentation and Disaster Recovery Made Easy Data is the lifeblood of any organization, and losing it can be catastrophic.

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AWS Machine Learning Blog

MAY 8, 2023

In a previous post , we discussed MLflow and how it can run on AWS and be integrated with SageMaker—in particular, when tracking training jobs as experiments and deploying a model registered in MLflow to the SageMaker managed infrastructure. To automate the infrastructure deployment, we use the AWS Cloud Development Kit (AWS CDK).

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IBM Journey to AI blog

MAY 26, 2023

Cloud is transforming the way life sciences organizations are doing business. Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

You can use the BGE embedding model to retrieve relevant documents and then use the BGE reranker to obtain final results. The application sends the user query to the vector database to find similar documents. The documents returned as a context are captured by the QnA application. The Jupyter Notebooks needs ml.t3.medium.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful. The cost associated with training models on recent data is high.

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Pickl AI

APRIL 7, 2025

Summary: This blog explains the difference between cloud computing and grid computing in simple terms. Ideal for beginners and tech enthusiasts exploring modern computing trends. Introduction Welcome to our exploration, where we highlight the difference between cloud computing and grid computing.

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AWS Machine Learning Blog

SEPTEMBER 5, 2024

Prerequisites For this example, you need the following: An AWS account and a user with an AWS Identity and Access Management (IAM) role authorized to use Amazon Bedrock. For more information on the types of nodes supported, check the Node types in prompt flow documentation. In our example, we use prompt nodes. Choose Create.

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AWS Machine Learning Blog

MAY 30, 2024

To serve their customers, Vitech maintains a repository of information that includes product documentation (user guides, standard operating procedures, runbooks), which is currently scattered across multiple internal platforms (for example, Confluence sites and SharePoint folders).

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