AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. SageMaker runs the legacy script inside a processing container. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language.

Scripts 136

Scripts APIs Engineering Construction 136

AWS Machine Learning

FEBRUARY 8, 2024

Generative AI agents are a versatile and powerful tool for large enterprises. At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API.

APIs 138

APIs Scripts Enterprise Management 138

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Be backed by enterprise grade security and privacy tooling.

APIs 139

APIs Scripts Finance Real estate 139

AWS Machine Learning

OCTOBER 24, 2024

Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline. Here’s a high-level breakdown of how the Python script is executed: Load the YOLOv9 model – This model is used for detecting objects in each frame. cvtColor(frame, cv2.COLOR_RGB2BGR)

Scripts 95

Scripts APIs Analytics Personalization 95

AWS Machine Learning

APRIL 23, 2024

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework.

APIs 128

APIs Enterprise Scripts Accountability 128

AWS Machine Learning

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs 121

APIs Scripts Accountability Entertainment 121

AWS Machine Learning

JANUARY 8, 2024

The first allows you to run a Python script from any server or instance including a Jupyter notebook; this is the quickest way to get started. In the following sections, we first describe the script solution, followed by the AWS CDK construct solution. The following diagram illustrates the sequence of events within the script.

Scripts 107

Scripts Construction APIs Healthcare 107

AWS Machine Learning

MAY 3, 2023

Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers and enterprises are able to solve traditionally complex challenges related to natural language processing and understanding.

Enterprise 84

Enterprise Chatbots APIs Government 84

AWS Machine Learning

AUGUST 2, 2024

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

Engineering 128

Engineering Scripts Metrics APIs 128

AWS Machine Learning

AUGUST 14, 2023

Enterprise search is a critical component of organizational efficiency through document digitization and knowledge management. Enterprise search covers storing documents such as digital files, indexing the documents for search, and providing relevant results based on user queries. script to preprocess and index the provided demo data.

Enterprise 80

Enterprise Scripts Best practices Analytics 80

AWS Machine Learning

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock supports multiple vector databases, including Amazon OpenSearch Serverless , Amazon Aurora , Pinecone, and Redis Enterprise Cloud. For enterprise implementations, Knowledge Bases supports AWS Key Management Service (AWS KMS) encryption, AWS CloudTrail integration, and more.

APIs 134

APIs Healthcare Scripts Enterprise 134

AWS Machine Learning

MAY 16, 2024

The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway. Real-time recommendation inference The inference phase consists of the following steps: The client application makes an inference request to the API gateway.

Personalization 119

Personalization APIs Scripts Technical Support 119

AWS Machine Learning

JUNE 19, 2024

The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. In the following sections, we guide you through the process of setting up a Slack integration for Amazon Bedrock. The following diagram illustrates the solution architecture.

APIs 127

APIs Engineering Accountability Big data 127

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs. To get started, set-up a name for your experiment.

Government 90

Government Management APIs Accountability 90

AWS Machine Learning

AUGUST 29, 2023

Solution overview The following figure illustrates the proposed target MLOps architecture for enterprise batch inference for organizations who use GitLab CI/CD and Terraform infrastructure as code (IaC) in conjunction with AWS tools and services. The data scientist can review and approve the new version of the model independently.

Scripts 85

Scripts APIs Enterprise Accountability 85

AWS Machine Learning

MAY 30, 2024

CBRE’s data environment, with 39 billion data points from over 300 sources, combined with a suite of enterprise-grade technology can deploy a range of AI solutions to enable individual productivity all the way to broadscale transformation. The following diagram illustrates the web interface and API management layer.

Real estate 129

Real estate APIs Metrics Construction 129

AWS Machine Learning

JULY 25, 2024

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. Any additional mappings need to be set in the user store using the user store APIs. You can use the following PowerShell script to create a self-signed certificate.

Scripts 105

Scripts APIs Engineering Enterprise 105

AWS Machine Learning

AUGUST 22, 2024

Snowflake Arctic is a family of enterprise-grade large language models (LLMs) built by Snowflake to cater to the needs of enterprise users, exhibiting exceptional capabilities (as shown in the following benchmarks ) in SQL querying, coding, and accurately following instructions. To learn more, refer to API documentation.

Enterprise 123

Enterprise APIs Benchmark Scripts 123

TechSee

APRIL 22, 2024

Furthermore, TechSee’s technology can be integrated anywhere through APIs or SDKs. To ensure that new technologies are embraced and utilized to their fullest, they must be integrated smoothly into the existing agent dashboards and scripts, requiring minimal shifts from established routines.

APIs 109

APIs Scripts Best practices Technology 109

TechSee

APRIL 22, 2024

Furthermore, TechSee’s technology can be integrated anywhere through APIs or SDKs. To ensure that new technologies are embraced and utilized to their fullest, they must be integrated smoothly into the existing agent dashboards and scripts, requiring minimal shifts from established routines.

APIs 109

APIs Scripts Best practices Technology 109

AWS Machine Learning

JULY 24, 2023

If the model changes on the server side, the client has to know and change its API call to the new endpoint accordingly. Clone the Github repository The GitHub repo provides all the scripts necessary to deploy models using FastAPI on NeuronCores on AWS Inferentia instances. code as the entry point. compiled-model-bs-{batch_size}.pt')

Scripts 85

Scripts APIs Best practices Engineering 85

AWS Machine Learning

OCTOBER 29, 2024

Enterprises in industries like manufacturing, finance, and healthcare are inundated with a constant flow of documents—from financial reports and contracts to patient records and supply chain documents. Brijesh Pati is an Enterprise Solutions Architect at AWS. This will trigger the AWS CloudFormation template in your AWS account.

Finance 107

Finance Enterprise Healthcare Scripts 107

AWS Machine Learning

JANUARY 12, 2023

Enterprises that operate globally are experiencing challenges sourcing customer support professionals with multi-lingual experience. This process can be cost-prohibitive and difficult to scale, leading many enterprises to only support English for chats. Take note of the API key and the API endpoint created during the deployment.

Customer Support 93

Customer Support APIs Scripts Enterprise 93

AWS Machine Learning

NOVEMBER 26, 2023

Generative AI is quickly transforming how enterprises do business. Gartner predicts that “by 2026, more than 80% of enterprises will have used generative AI APIs or models, or deployed generative AI-enabled applications in production environments, up from less than 5% in 2023.”

Personalization 126

Personalization Customer Experience APIs Entertainment 126

AWS Machine Learning

NOVEMBER 7, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. If you want to jump straight into the JumpStart API code we go through in this post, you can refer to the following sample Jupyter notebook: Introduction to JumpStart – Text to Image.

APIs 103

APIs Scripts Enterprise Big data 103

AWS Machine Learning

MAY 31, 2023

Enterprise customers in tightly controlled industries such as healthcare and finance set up security guardrails to ensure their data is encrypted and traffic doesn’t traverse the internet. Additionally, each API call can have its own configurations. Then it copies the file into the default location for Studio notebooks.

APIs 100

APIs Scripts Accountability Enterprise 100

AWS Machine Learning

MAY 8, 2023

This can be a challenge for enterprises in regulated industries that need to keep strong model governance for audit purposes. How to expose the MLflow server via private integrations to an API Gateway, and implement a secure access control for programmatic access via the SDK and browser access via the MLflow UI. Adds an IAM authorizer.

APIs 82

APIs Government Accountability Scripts 82

AWS Machine Learning

FEBRUARY 19, 2024

An asynchronous API and Amazon OpenSearch Service connector make it easy to integrate the model into your neural search applications. Before you can write scripts that use the Amazon Bedrock API, you need to install the appropriate version of the AWS SDK in your environment. The vectors power speedy, accurate search experiences.

Scripts 123

Scripts APIs Entertainment Engineering 123

AWS Machine Learning

FEBRUARY 19, 2024

Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests. We currently support four vector engine types: the vector engine for Amazon OpenSearch Serverless, Amazon Aurora, Pinecone, and Redis Enterprise Cloud. Choose Next.

Chatbots 116

Chatbots APIs Engineering Enterprise 116

AWS Machine Learning

APRIL 29, 2024

Dataset collection We followed the methodology outlined in the PMC-Llama paper [6] to assemble our dataset, which includes PubMed papers sourced from the Semantic Scholar API and various medical texts cited within the paper, culminating in a comprehensive collection of 88 billion tokens. Create and launch ParallelCluster in the VPC.

APIs 125

APIs Healthcare Scripts Enterprise 125

AWS Machine Learning

JUNE 23, 2023

FastAPI is a modern, high-performance web framework for building APIs with Python. Its ease and built-in functionalities like the automatic API documentation make it a popular choice amongst ML engineers to deploy high-performance inference APIs. To build this image locally, we need Docker. We discuss how to create the.tar.gz

APIs 100

APIs Scripts Engineering Accountability 100

AWS Machine Learning

NOVEMBER 7, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform inference, both via the Studio UI and via JumpStart APIs. JumpStart overview. Text generation, GPT-2, and Bloom.

APIs 98

APIs Scripts Enterprise Big data 98

AWS Machine Learning

JUNE 12, 2024

Amazon Q can help you get fast, relevant answers to pressing questions, solve problems, generate content, and take actions using the data and expertise found in your company’s information repositories and enterprise systems. Amazon Q uses the chat_sync API to carry out the conversation. You can also find the script on the GitHub repo.

APIs 130

APIs Enterprise Accountability Feedback 130

AWS Machine Learning

AUGUST 4, 2023

When a version of the model in the Amazon SageMaker Model Registry is approved, the endpoint is exposed as an API with Amazon API Gateway using a custom Salesforce JSON Web Token (JWT) authorizer. frameworks to restrict client access to your APIs. For API Name , leave as default (it’s automatically populated).

APIs 90

APIs Scripts Management Accountability 90

AWS Machine Learning

JANUARY 5, 2024

Its AI/ML solutions drive enhanced operational efficiency, productivity, and customer experience for many of their enterprise clients. Model training: Using the SageMaker SDK, this step runs training code with the respective model image and trains datasets from pre-processing scripts while generating the trained model artifacts.

Management 132

Management APIs Engineering Government 132

AWS Machine Learning

FEBRUARY 15, 2023

You can fine-tune and deploy JumpStart models using the UI in Amazon SageMaker Studio or using the SageMaker Python SDK extension for JumpStart APIs. This post focuses on how we can implement MLOps with JumpStart models using JumpStart APIs, Amazon SageMaker Pipelines , and Amazon SageMaker Projects. sm_client = boto3.client("sagemaker")

Scripts 109

Scripts APIs Engineering Enterprise 109

AWS Machine Learning

AUGUST 26, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform semantic segmentation with JumpStart, both via the Studio UI and via JumpStart APIs. Semantic segmentation.

APIs 89

APIs Scripts Enterprise Big data 89