AWS Machine Learning

OCTOBER 24, 2024

These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and APIs. What are some S3 best practices? What is the total revenue for each employee?

APIs 95

APIs Best practices Construction Engineering 95

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. This broad compatibility allows customers to work with models that best suit their specific needs and use cases, allowing for greater flexibility and choice in model selection. 2, 3, 3.1,

APIs 139

APIs Scripts Finance Real estate 139

AWS Machine Learning

OCTOBER 14, 2024

The logic flow for generating an answer to a text-image response pair routes as follows: Steps 1 and 2 – To start, a user query and corresponding image are routed through an Amazon API Gateway connection to an AWS Lambda function, which serves as the processing and orchestrating compute for the overall process. us-east-1 or bash deploy.sh

Chatbots 125

Chatbots APIs Engineering Healthcare 125

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. SageMaker takes your script, copies your data from Amazon Simple Storage Service (Amazon S3), and then pulls a processing container.

Scripts 136

Scripts APIs Engineering Construction 136

AWS Machine Learning

JULY 17, 2024

This post shows how to use AWS generative artificial intelligence (AI) services , like Amazon Q Business , with AWS Support cases, AWS Trusted Advisor , and AWS Health data to derive actionable insights based on common patterns, issues, and resolutions while using the AWS recommendations and best practices enabled by support data.

Scripts 119

Scripts APIs Enterprise Accountability 119

AWS Machine Learning

NOVEMBER 15, 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, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 90

APIs Government Best practices Metrics 90

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

JULY 11, 2024

This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams.

Scripts 130

Scripts APIs Engineering industry standards 130

AWS Machine Learning

FEBRUARY 8, 2024

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. System integration – Agents make API calls to integrated company systems to run specific actions.

APIs 138

APIs Scripts Enterprise Management 138

AWS Machine Learning

AUGUST 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. The scripts for fine-tuning and evaluation are available on the GitHub repository.

APIs 123

APIs Scripts Real estate Accountability 123

AWS Machine Learning

APRIL 23, 2024

The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. It calls the CreateDataSource and DeleteDataSource APIs. Minimally, you must specify the following properties: Name – Specify a name for the knowledge base.

APIs 128

APIs Enterprise Scripts Accountability 128

AWS Machine Learning

NOVEMBER 14, 2022

We provide a step-by-step guide to deploy your SageMaker trained model to Graviton-based instances, cover best practices when working with Graviton, discuss the price-performance benefits, and demo how to deploy a TensorFlow model on a SageMaker Graviton instance. The inference script URI is needed in the INFERENCE_SCRIPT_S3_LOCATION.

Scripts 92

Scripts APIs Best practices Engineering 92

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 2, 2024

Image 2: Hugging Face NLP model inference performance improvement with torch.compile on AWS Graviton3-based c7g instance using Hugging Face example scripts. This section shows how to run inference in eager and torch.compile modes using torch Python wheels and benchmarking scripts from Hugging Face and TorchBench repos.

Benchmark 117

Benchmark Scripts Metrics APIs 117

AWS Machine Learning

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The following diagram illustrates the web interface and API management layer.

Real estate 129

Real estate APIs Metrics Construction 129

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. It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices.

Government 90

Government Management APIs Accountability 90

AWS Machine Learning

SEPTEMBER 8, 2023

Amazon Rekognition makes it easy to add image analysis capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 122

APIs Scripts Entertainment Personalization 122

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. In this post, we share best practices to deploy deep learning models with FastAPI on AWS Inferentia NeuronCores. script in the fastapi and trace-model folders use this to create Docker images.

Scripts 85

Scripts APIs Best practices Engineering 85

AWS Machine Learning

APRIL 12, 2023

The code to invoke the pipeline script is available in the Studio notebooks, and we can change the hyperparameters and input/output when invoking the pipeline. This is quite different from our earlier method where we had all the parameters hard coded within the scripts and all the processes were inextricably linked.

Scripts 102

Scripts APIs Metrics Best practices 102

AWS Machine Learning

APRIL 10, 2023

In this post, we present a comprehensive guide on deploying and running inference using the Stable Diffusion inpainting model in two methods: through JumpStart’s user interface (UI) in Amazon SageMaker Studio , and programmatically through JumpStart APIs available in the SageMaker Python SDK.

Scripts 91

Scripts APIs Construction Finance 91

AWS Machine Learning

SEPTEMBER 11, 2023

IaC ensures that customer infrastructure and services are consistent, scalable, and reproducible while following best practices in the area of development operations (DevOps). This is required to communicate with the SageMaker API. SageMaker runtime: com.amazonaws.region.sagemaker.runtime.

Scripts 121

Scripts APIs Management Best practices 121

AWS Machine Learning

SEPTEMBER 14, 2023

Integrating security in our workflow Following the best practices of the Security Pillar of the Well-Architected Framework , Amazon Cognito is used for authentication. Amazon API Gateway hosts a REST API with various endpoints to handle user requests that are authenticated using Amazon Cognito.

APIs 120

APIs Healthcare Scripts Engineering 120

AWS Machine Learning

MAY 30, 2023

With SageMaker Processing, you can bring your own custom processing scripts and choose to build a custom container or use a SageMaker managed container with common frameworks like scikit-learn, Lime, Spark and more. Alternatively, you can use the list_processing_jobs API. You can choose from two methods to do this.

Scripts 74

Scripts Best practices Metrics APIs 74

AWS Machine Learning

SEPTEMBER 26, 2024

This text-to-video API generates high-quality, realistic videos quickly from text and images. Customizable environment – SageMaker HyperPod offers the flexibility to customize your cluster environment using lifecycle scripts. Video generation has become the latest frontier in AI research, following the success of text-to-image models.

Scripts 119

Scripts APIs Metrics Management 119

AWS Machine Learning

MAY 8, 2023

To use TensorRT as a backend for Triton Inference Server, you need to create a TensorRT engine from your trained model using the TensorRT API. Inference requests arrive at the server via either HTTP/REST or by the C API , and are then routed to the appropriate per-model scheduler. script from the following cell.

Engineering 97

Engineering APIs Best practices Scripts 97

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.

APIs 82

APIs Government Accountability Scripts 82

AWS Machine Learning

MARCH 23, 2023

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

Scripts 119

Scripts APIs Government Analytics 119

JivoChat

JANUARY 17, 2023

Python Scripting and Automation. You will also build more than 10 projects, putting what you learn into practice and also building a portfolio. . RESTful API Design. The course also approaches responsive design, pair programming, PaaS systems, and the growth of APIs. . Frameworks and APIs. Workload: 60 hours.

APIs 75

APIs Best practices Scripts Marketing 75

AWS Machine Learning

AUGUST 10, 2023

As recommended by AWS as a best practice , customers have used separate accounts to simplify policy management for users and isolate resources by workloads and account. You can deploy the management account resources by running the following command: /scripts/organization-deployment/deploy-management-account.sh aws/config.

Scripts 90

Scripts Accountability Metrics Best practices 90

AWS Machine Learning

OCTOBER 2, 2023

For more information about best practices, refer to the AWS re:Invent 2019 talk, Build accurate training datasets with Amazon SageMaker Ground Truth. For this we use AWS Step Functions , a serverless workflow service that provides us with API integrations to quickly orchestrate and visualize the steps in our workflow.

Scripts 118

Scripts Construction Engineering APIs 118

AWS Machine Learning

JANUARY 6, 2023

Creates an API Gateway that adds an additional layer of security between the web app user interface and Lambda. Wait until the script provisions all the required resources and finishes running. Copy the API Gateway URL that the AWS CDK script prints out and save it. (We The S3 path to the movie node file.

Entertainment 98

Entertainment APIs Scripts Analytics 98

AWS Machine Learning

MARCH 21, 2023

Therefore, organizations have adopted technology best practices, including microservice architecture, MLOps, DevOps, and more, to improve delivery time, reduce defects, and increase employee productivity. This post introduces a best practice for managing custom code within your Amazon SageMaker Data Wrangler workflow.

Scripts 70

Scripts Banking APIs Best practices 70

AWS Machine Learning

AUGUST 29, 2023

Refer to Operating model for best practices regarding a multi-account strategy for ML. The SageMaker training with HPO pipeline can also be triggered manually (in the SageMaker Studio UI or via an API call using the AWS CLI or SageMaker Python SDK) by the responsible data scientist if needed.

Scripts 85

Scripts APIs Enterprise Accountability 85

AWS Machine Learning

MAY 31, 2023

Triton with PyTorch backend The PyTorch backend is designed to run TorchScript models using the PyTorch C++ API. Alternatively, you can use ensemble models or business logic scripting. file in the workspace directory contains scripts to load and save a PyTorch model. client(service_name="sagemaker") runtime_sm_client = boto3.client("sagemaker-runtime")

APIs 108

APIs Scripts Engineering Accountability 108

AWS Machine Learning

MAY 19, 2023

The DescribeForMe web app invokes the backend AI services by sending the Amazon S3 object Key in the payload to Amazon API Gateway Amazon API Gateway instantiates an AWS Step Functions workflow. A pre-signed URL with the location of the audio file stored in Amazon S3 is sent back to the user’s browser through Amazon API Gateway.

APIs 101

APIs Scripts Best practices Engineering 101

AWS Machine Learning

SEPTEMBER 1, 2023

Solution overview To get responses streamed back from SageMaker, you can use our new InvokeEndpointWithResponseStream API. To take advantage of the new streaming API, you need to make sure the model container returns the streamed response as chunked encoded data. We use Streamlit for the sample demo application UI.

APIs 115

APIs Chatbots Engineering Best practices 115