AWS Machine Learning Blog

DECEMBER 5, 2024

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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AWS Machine Learning Blog

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

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AWS Machine Learning Blog

MARCH 10, 2025

Financial institutions need a solution that can not only aggregate and process large volumes of data but also deliver actionable intelligence in a conversational, user-friendly format. It became apparent that a cost-effective solution for our generative AI needs was required. Enter Amazon Bedrock Knowledge Bases.

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FEBRUARY 11, 2025

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. For complex customer issues, the process was especially time-consuming, laborious, and at times extended the wait time for customers seeking resolutions.

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APRIL 23, 2025

National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and large language models (LLMs) on Amazon SageMaker AI. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.

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MAY 28, 2025

The Market to Molecule (M2M) value stream process, which biopharma companies must apply to bring new drugs to patients, is resource-intensive, lengthy, and highly risky. Simplifying the UI from the traditional human browser to a conversational AI assistant can enhance the user experience in the clinical research process.

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MAY 15, 2025

The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. In this post, we share how Qualtrics built an AI platform powered by Amazon SageMaker and Amazon Bedrock. This post is co-authored by Jay Kshirsagar and Ronald Quan from Qualtrics.

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NOVEMBER 20, 2024

Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries.

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AWS Machine Learning Blog

OCTOBER 30, 2024

Global Resiliency is a new Amazon Lex capability that enables near real-time replication of your Amazon Lex V2 bots in a second AWS Region. We showcase the replication process of bot versions and aliases across multiple Regions. Solution overview For this exercise, we create a BookHotel bot as our sample bot.

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AWS Machine Learning Blog

MARCH 17, 2025

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on.

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MAY 28, 2025

Amazon Web Services (AWS) addresses this gap with Amazon SageMaker Canvas , a low-code ML service that simplifies model development and deployment. These models support a range of functionalities: image recognition, natural language processing (NLP), text extraction, to sentiment analysis.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

About John Snow Labs John Snow Labs , the AI for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations put AI to good use. Its award-winning medical AI software powers the world’s leading pharmaceuticals, academic medical centers, and health technology companies.

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AWS Machine Learning Blog

APRIL 4, 2025

This post explores how Lumi uses Amazon SageMaker AI to meet this goal, enhance their transaction processing and classification capabilities, and ultimately grow their business by providing faster processing of loan applications, more accurate credit decisions, and improved customer experience.

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OCTOBER 25, 2023

However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. In this post, we discuss how AWS can help you successfully address the challenges of extracting insights from unstructured data. Let’s understand how these AWS services are integrated in detail.

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JANUARY 6, 2025

Precise), an Amazon Web Services (AWS) Partner , participated in the AWS Think Big for Small Business Program (TBSB) to expand their AWS capabilities and to grow their business in the public sector. The platform helped the agency digitize and process forms, pictures, and other documents. Precise Software Solutions, Inc.

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AWS Machine Learning Blog

FEBRUARY 25, 2025

To build a generative AI -based conversational application integrated with relevant data sources, an enterprise needs to invest time, money, and people. Customers rely on Alation to realize the value of their data and AI initiatives. This blog post is co-written with Gene Arnold from Alation.

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AWS Machine Learning Blog

JANUARY 29, 2025

Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. An operating model defines the organizational design, core processes, technologies, roles and responsibilities, governance structures, and financial models that drive a businesss operations.

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AWS Machine Learning Blog

NOVEMBER 6, 2024

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). In this post, we explore how to integrate Amazon Bedrock FMs into your code base, enabling you to build powerful AI-driven applications with ease.

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AWS Machine Learning Blog

DECEMBER 23, 2024

Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. If you dont have an AWS account, see How do I create and activate a new Amazon Web Services account? Choose Next.

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AWS Machine Learning Blog

JANUARY 29, 2025

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. Prerequisites You should have the following prerequisites: An AWS account with access to Amazon Bedrock.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Whether youre new to AI development or an experienced practitioner, this post provides step-by-step guidance and code examples to help you build more reliable AI applications. Lets assume that the question What date will AWS re:invent 2024 occur? If the question was Whats the schedule for AWS events in December?,

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AWS Machine Learning Blog

JANUARY 30, 2025

This arduous, time-consuming process is typically the first step in the grant management process, which is critical to driving meaningful social impact. The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI.

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AWS Machine Learning Blog

NOVEMBER 29, 2024

Prompt Optimizations can result in significant improvements for Generative AI tasks. In the Configurations pane, for Generative AI resource , choose Models and choose your preferred model. The reduced manual effort, will greatly accelerate the development of generative-AI applications in your organization. Choose Optimize.

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Data Science Dojo

NOVEMBER 5, 2024

The learning program is typically designed for working professionals who want to learn about the advancing technological landscape of language models and learn to apply it to their work. It covers a range of topics including generative AI, LLM basics, natural language processing, vector databases, prompt engineering, and much more.

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AWS Machine Learning Blog

AUGUST 5, 2024

This post demonstrates how to seamlessly automate the deployment of an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation , enabling organizations to quickly and effortlessly set up a powerful RAG system. On the AWS CloudFormation console, create a new stack. Choose Next.

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MAY 16, 2025

With the rise of generative AI and knowledge extraction in AI systems, Retrieval Augmented Generation (RAG) has become a prominent tool for enhancing the accuracy and reliability of AI-generated responses. RAG is as a way to incorporate additional data that the large language model (LLM) was not trained on.

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AWS Machine Learning Blog

JANUARY 30, 2025

The use of unsupervised learning methods on semi-structured data along with generative AI has been transformative in unlocking hidden insights. Amazon Bedrock is a fully managed service that provides access to high-performing foundation models (FMs) from leading AI startups and Amazon through a unified API.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level.

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Data Science Dojo

OCTOBER 31, 2024

For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.

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AWS Machine Learning Blog

OCTOBER 23, 2024

Generative AI is set to revolutionize user experiences over the next few years. A crucial step in that journey involves bringing in AI assistants that intelligently use tools to help customers navigate the digital landscape. In this post, we demonstrate how to deploy a contextual AI assistant.

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AWS Machine Learning Blog

MAY 28, 2025

With this launch, developers and data scientists can now deploy Gemma 3, a 27-billion-parameter language model, along with its specialized instruction-following versions, to help accelerate building, experimentation, and scalable deployment of generative AI solutions on AWS.

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AWS Machine Learning Blog

MARCH 21, 2025

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices.

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AWS Machine Learning Blog

JULY 2, 2024

AWS optimized the PyTorch torch.compile feature for AWS Graviton3 processors. the optimizations are available in torch Python wheels and AWS Graviton PyTorch deep learning container (DLC). The goal for the AWS Graviton team was to optimize torch.compile backend for Graviton3 processors. Starting with PyTorch 2.3.1,

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AWS Machine Learning Blog

FEBRUARY 6, 2025

In this post, we review how Aetion is using Amazon Bedrock to help streamline the analytical process toward producing decision-grade real-world evidence and enable users without data science expertise to interact with complex real-world datasets. Measures Assistant is an AetionAI feature in Substantiate.

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JUNE 3, 2025

This post showcases how the TSBC built a machine learning operations (MLOps) solution using Amazon Web Services (AWS) to streamline production model training and management to process public safety inquiries more efficiently. AWS CodePipeline : Monitors changes in Amazon S3 and triggers AWS CodeBuild to execute SageMaker pipelines.

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AWS Machine Learning Blog

JUNE 11, 2024

Each of these products are infused with artificial intelligence (AI) capabilities to deliver exceptional customer experience. Sprinklr’s specialized AI models streamline data processing, gather valuable insights, and enable workflows and analytics at scale to drive better decision-making and productivity.

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APRIL 24, 2025

Recent advances in generative AI have led to the rapid evolution of natural language to SQL (NL2SQL) technology, which uses pre-trained large language models (LLMs) and natural language to generate database queries in the moment. The following diagram illustrates the solution architecture.

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