AWS Machine Learning Blog

DECEMBER 4, 2024

SageMaker Unified Studio combines various AWS services, including Amazon Bedrock , Amazon SageMaker , Amazon Redshift , Amazon Glue , Amazon Athena , and Amazon Managed Workflows for Apache Airflow (MWAA) , into a comprehensive data and AI development platform. Navigate to the AWS Secrets Manager console and find the secret -api-keys.

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AWS Machine Learning Blog

JULY 15, 2024

Today, Mixbook is the #1 rated photo book service in the US with 26 thousand five-star reviews. Years ago, Mixbook undertook a strategic initiative to transition their operational workloads to Amazon Web Services (AWS) , a move that has continually yielded significant advantages.

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AWS Machine Learning Blog

MAY 30, 2024

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. The framework for connecting Anthropic Claude 2 and CBRE’s sample database was implemented using LangChain.

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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! You marked your calendars, you booked your hotel, and you even purchased the airfare. are the sessions dedicated to AWS DeepRacer ! Generative AI is at the heart of the AWS Village this year. And last but not least (and always fun!)

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AWS Machine Learning Blog

JULY 10, 2024

Today at the AWS New York Summit, we announced a wide range of capabilities for customers to tailor generative AI to their needs and realize the benefits of generative AI faster. 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

OCTOBER 23, 2024

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. Pre-built templates tailored to various use cases are included, significantly enhancing both employee and customer experiences.

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AWS Machine Learning Blog

MARCH 4, 2024

Looking back to 2021, when Anthropic first started building on AWS, no one could have envisioned how transformative the Claude family of models would be. In addition, proprietary data is never exposed to the public internet, never leaves the AWS network, is securely transferred through VPC, and is encrypted in transit and at rest.

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Flipboard

NOVEMBER 20, 2024

Prerequisites Before proceeding with this tutorial, make sure you have the following in place: AWS account – You should have an AWS account with access to Amazon Bedrock. She speaks at internal and external conferences such AWS re:Invent, Women in Manufacturing West, YouTube webinars, and GHC 23. model in Amazon Bedrock.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

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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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AWS Machine Learning Blog

FEBRUARY 14, 2024

In this post, we discuss how to use the comprehensive capabilities of Amazon Bedrock to perform complex business tasks and improve the customer experience by providing personalization using the data stored in a database like Amazon Redshift. This solution contains two major components. This solution contains two major components.

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AWS Machine Learning Blog

OCTOBER 23, 2024

By automating document ingestion, chunking, and embedding, it eliminates the need to manually set up complex vector databases or custom retrieval systems, significantly reducing development complexity and time. The solution’s scalability quickly accommodates growing data volumes and user queries thanks to AWS serverless offerings.

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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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Flipboard

NOVEMBER 24, 2023

In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language. SnapLogic background SnapLogic is an AWS customer on a mission to bring enterprise automation to the world.

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AWS Machine Learning Blog

AUGUST 7, 2024

It works by first retrieving relevant responses from a database, then using those responses as context to feed the generative model to produce a final output. For example, retrieving responses from its database before generating a response could provide more relevant and coherent responses. Scott Fitzgerald.

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Towards AI

JUNE 18, 2024

Many of you asked for an electronic version of our new book, so after working out the kinks, we are finally excited to release the electronic version of “Building LLMs for Production.” We’ve heard many feedback from you guys wanting to have both the e-book and book for different occasions. We listened.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

Internally, Amazon Bedrock uses embeddings stored in a vector database to augment user query context at runtime and enable a managed RAG architecture solution. The document embeddings are split into chunks and stored as indexes in a vector database. We use the Amazon letters to shareholders dataset to develop this solution.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Building a production-ready solution in AWS involves a series of trade-offs between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions you make while building workloads on AWS.

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AWS Machine Learning Blog

JANUARY 31, 2024

In addition to semantic search, you can use embeddings to augment your prompts for more accurate results through Retrieval Augmented Generation (RAG)—but in order to use them, you’ll need to store them in a database with vector capabilities. You can use it via either the Amazon Bedrock REST API or the AWS SDK. Nitin Eusebius is a Sr.

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AWS Machine Learning Blog

NOVEMBER 24, 2023

The platform enables you to create managed agents for complex business tasks without the need for coding, such as booking travel, processing insurance claims, creating ad campaigns, and managing inventory. This solution is available in the AWS Solutions Library. AWS Lambda – AWS Lambda provides serverless compute for processing.

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AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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AWS Machine Learning Blog

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. Context is retrieved from the vector database based on the user query. For example, consider the following query: What is the cost of the book " " on ? pdf" } }, "score": 0.6389407 }, { "content": { "text": ".amortization

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IBM Journey to AI blog

APRIL 8, 2024

The new Amazon Relational Database Service (Amazon RDS) for Db2 offering allows customers to migrate their existing, self-managed Db2 databases to the cloud and accelerate strategic modernization initiatives. In our recent  webcast , IBM, AWS, customers and partners came together for an interactive session.

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AWS Machine Learning Blog

JULY 1, 2024

In this post, we demonstrate how you can build chatbots with QnAIntent that connects to a knowledge base in Amazon Bedrock (powered by Amazon OpenSearch Serverless as a vector database ) and build rich, self-service, conversational experiences for your customers. Keep the data source location as the same AWS account and choose Browse S3.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. RAG is a popular technique that combines the use of private data with large language models (LLMs). txt) Markdown (.md)

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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. During the embeddings experiment, the dataset was converted into embeddings, stored in a vector database, and then matched with the embeddings of the question to extract context. Based on the initial tests, this method showed great results.

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AWS Machine Learning Blog

NOVEMBER 17, 2023

Agents for Amazon Bedrock In July, AWS announced the preview of agents for Amazon Bedrock , a new capability for developers to create fully managed agents in a few clicks. We provide an AWS CloudFormation template to provision the resources needed for building this solution. Our code is backed by an in-memory SQLite database.

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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 web application front-end is hosted on AWS Amplify.

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AWS Machine Learning Blog

JUNE 18, 2024

This represents a major opportunity for businesses to optimize this workflow, save time and money, and improve accuracy by modernizing antiquated manual document handling with intelligent document processing (IDP) on AWS. The transformed data is then tailored to match the formats required by their downstream databases.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

Customers are applying generative AI to new use cases; for example, Lonely Planet, a premier travel media company, worked with our Generative AI Innovation Center to introduce a scalable AI platform that organizes book content in minutes to deliver cohesive, highly accurate travel recommendations, reducing itinerary generation costs by nearly 80%.

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AWS Machine Learning Blog

APRIL 3, 2024

With Amazon Titan Multimodal Embeddings, you can generate embeddings for your content and store them in a vector database. We use Amazon OpenSearch Serverless as a vector database for storing embeddings generated by the Amazon Titan Multimodal Embeddings model. Virginia) and US West (Oregon) AWS Regions.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

We used FSx for Lustre and Amazon Relational Database Service (Amazon RDS) for fast parallel data access. Model training was accelerated by 50% through the use of the SMDDP library, which includes optimized communication algorithms designed specifically for AWS infrastructure. days in AWS vs. 9 days on their legacy platform).

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AWS Machine Learning Blog

APRIL 18, 2023

It includes sensor devices to capture vibration and temperature data, a gateway device to securely transfer data to the AWS Cloud, the Amazon Monitron service that analyzes the data for anomalies with ML, and a companion mobile app to track potential failures in your machinery. The following diagram illustrates the solution architecture.

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AWS Machine Learning Blog

AUGUST 14, 2023

The final retrieval augmentation workflow covers the following high-level steps: The user query is used for a retriever component, which does a vector search, to retrieve the most relevant context from our database. A vector database provides efficient vector similarity search by providing specialized indexes like k-NN indexes.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. The AWS P5 EC2 instance type range is based on the NVIDIA H100 chip, which uses the Hopper architecture. In November 2023, AWS announced the next generation Trainium2 chip.

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Hacker News

APRIL 18, 2021

A touchscreen interface that's super laggy, or an appointment booking app that forces you to go in and out of possible dates and fill in all information before it tells you if it's available. If I make a change in the AWS console, or if I add a new pod to Kubernetes, or whatever, I want that to happen in seconds.

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Flipboard

MARCH 22, 2023

Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies in machine learning (ML), retail, and data and analytics. An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles.

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