AWS Machine Learning

AUGUST 4, 2023

The following steps give an overview of how to use the new capabilities launched in SageMaker for Salesforce to enable the overall integration: Set up the Amazon SageMaker Studio domain and OAuth between Salesforce and the AWS account s. frameworks to restrict client access to your APIs. Select Enable OAuth Settings.

APIs 78

APIs Scripts Management Accountability 78

AWS Machine Learning

JUNE 15, 2022

In the subsequent sections, we use this example to demonstrate the use of hierarchical facets to narrow down search results along with step-by-step instructions you can follow to try this out in your own AWS account. If you just want to read about this feature without running it yourself, you can refer to the Python script facet-search-query.py

APIs 71

APIs Scripts Technology Engineering 71

AWS Machine Learning

APRIL 18, 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, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 97

Scripts Best practices Engineering Accountability 97

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 95

Scripts APIs Government Analytics 95

AWS Machine Learning

OCTOBER 25, 2022

Model weights are available via scripts in the GitHub repository , and the MSAs are hosted by the Registry of Open Data on AWS (RODA). The MSA step in the protein folding workflow is computationally intensive and can account for a majority of the inference time. Set up the EKS cluster with an FSx for Lustre file system.

APIs 77

APIs Scripts Banking Engineering 77

AWS Machine Learning

MAY 23, 2023

Model data is stored on Amazon Simple Storage Service (Amazon S3) in the JumpStart account. The web application interacts with the models via Amazon API Gateway and AWS Lambda functions as shown in the following diagram. Prerequisites You must have the following prerequisites: An AWS account The AWS CLI v2 Python 3.6

APIs 92

APIs Accountability Construction Management 92

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 123

Best practices Government Engineering Accountability 123

AWS Machine Learning

JULY 5, 2022

Data Wrangler is a capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications via a visual interface. LCC scripts are triggered by Studio lifecycle events, such as starting a new Studio notebook. Apply the script (see below). Solution overview.

Scripts 80

Scripts Engineering APIs Consulting 80

AWS Machine Learning

NOVEMBER 1, 2022

Data scientists need to only provide a tabular dataset and select the target column to predict, and Autopilot automatically infers the problem type, performs data preprocessing and feature engineering, selects the algorithms and training mode, and explores different configurations to find the best ML model. script creates an Autopilot job.

Scripts 77

Scripts APIs Metrics Engineering 77

AWS Machine Learning

MAY 25, 2023

We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda. We implement a chatbot application in Streamlit which invokes the function via the API Gateway and the function does a similarity search in the OpenSearch Service index for the embeddings of user question.

APIs 77

APIs Enterprise Accountability Chatbots 77

AWS Machine Learning

JULY 29, 2022

In part 1 , we addressed the data steward persona and showcased a data mesh setup with multiple AWS data producer and consumer accounts. The workflow consists of the following components: The producer data steward provides access in the central account to the database and table to the consumer account. Data exploration.

Scripts 71

Scripts Analytics Accountability Engineering 71

AWS Machine Learning

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Engineering 103

Engineering Accountability Construction APIs 103

AWS Machine Learning

SEPTEMBER 28, 2022

Amazon SageMaker Pipelines allows data scientists and machine learning (ML) engineers to automate training workflows, which helps you create a repeatable process to orchestrate model development steps for rapid experimentation and model retraining. To follow along with this post, you need an AWS account with a Studio domain.

Scripts 70

Scripts Engineering APIs Management 70

AWS Machine Learning

MARCH 21, 2023

It contains over 300 built-in data transformation steps to aid with feature engineering, normalization, and cleansing to transform your data without having to write any code. We use the get_file API function to pull files from the CodeCommit repository into the Data Wrangler environment. Choose Preview.

Scripts 62

Scripts Banking APIs Best practices 62

AWS Machine Learning

APRIL 11, 2023

One important aspect of this foundation is to organize their AWS environment following a multi-account strategy. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs.

APIs 70

APIs Accountability Scripts Enterprise 70

AWS Machine Learning

OCTOBER 4, 2022

Developers usually test their processing and training scripts locally, but the pipelines themselves are typically tested in the cloud. From a very high level, the ML lifecycle consists of many different parts, but the building of an ML model usually consists of the following general steps: Data cleansing and preparation (feature engineering).

Scripts 72

Scripts Engineering Management APIs 72

AWS Machine Learning

FEBRUARY 13, 2023

An administrator can run the AWS CDK script provided in the GitHub repo via the AWS Management Console or in the terminal after loading the code in their environment. Make sure you have the credentials and permissions to deploy the AWS CDK stack into your account. The steps are as follows: Open AWS Cloud9 on the console.

Scripts 74

Scripts Best practices Transportation Construction 74

AWS Machine Learning

MARCH 20, 2023

Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. Quantizing the model in PyTorch is possible with a few APIs from Intel PyTorch extensions. py scripts for testing. times greater with INT8 quantization.

Calibration 78

Calibration Scripts Benchmark APIs 78

AWS Machine Learning

AUGUST 30, 2023

Prerequisites To get started, you need an AWS account in which you can use SageMaker Studio. In order to run inference through SageMaker API, make sure to pass the Predictor class. You will need to create a user profile for SageMaker Studio if you don’t already have one. The training instance type used in this post is ml.p3.16xlarge.

Healthcare 112

Healthcare APIs Metrics Scripts 112

AWS Machine Learning

NOVEMBER 9, 2022

A complete API call from the client is as follows: The client assembles the request and initiates the request to a SageMaker endpoint. In the following sections, we introduce the steps needed to prepare a model and build the TensorRT engine, prepare a Docker image, create a SageMaker endpoint, and verify the result. Launch a G4dn.2xlarge

Engineering 79

Engineering Accountability APIs Metrics 79

AWS Machine Learning

AUGUST 3, 2023

Finally, we show how you can integrate this car pose detection solution into your existing web application using services like Amazon API Gateway and AWS Amplify. For each option, we host an AWS Lambda function behind an API Gateway that is exposed to our mock application. iterdir(): if p_file.suffix == ".pth":

APIs 63

APIs Scripts Engineering Technical Support 63

AWS Machine Learning

AUGUST 14, 2023

Prompt engineering for zero-shot and few-shot NLP tasks on BLOOM models Prompt engineering deals with creating high-quality prompts to guide the model towards the desired responses. Prompt engineering can greatly improve the performance of zero-shot and few-shot learning models. Question: When was NLP Cloud founded?

Engineering 71

Engineering APIs Chatbots Scripts 71

AWS Machine Learning

NOVEMBER 16, 2022

Automated deployment options have been improved and simplified using Kustomize scripts and Helm charts. This script automates creation of the following AWS resources: VPCs and EKS clusters. Make sure you meet the following prerequisites: You have an AWS account. Kubeflow on AWS 1.6.1 Prerequisites.

Metrics 67

Metrics Scripts Enterprise APIs 67

NobelBiz

APRIL 23, 2024

Account Setup and Verification : Upon receiving a debt, the agency sets up an account for the debtor and verifies all the details. Call centers are equipped with tools that allow agents to quickly access a debtor’s full account information, ensuring that every interaction is informed and constructive.

Customer centricity 59

Customer centricity Contact Center Technology Telemarketing 59

AWS Machine Learning

AUGUST 11, 2022

For example, in some e-commerce platforms, account registration is wide open. Fraudsters can behave maliciously just once with an account and never use the same account again. Additionally, it’s challenging to construct a streaming data pipeline that can feed incoming events to a GNN real-time serving API.

Construction 84

Construction APIs Accountability Scripts 84

aircall

JUNE 11, 2021

2015 — An open API (applied programming interface) technology was invented to allow software applications to sync and share data between them. A discussion of voice communications isn’t complete without VoIP (voice over internet protocol) and an open API (applied programming interface) technology. Telecommunication Now.

voip 62

voip APIs Call Center Telecommunications 62

AWS Machine Learning

NOVEMBER 21, 2022

2xlarge instances, so you should raise a service limit increase request if your account requires increased limits for this type. This notebook demonstrates how to use the JumpStart API for text classification. max_jobs = 6 # Change parallel training jobs run by AMT to reduce total training time, constrained by your account limits. #

Scripts 72

Scripts Metrics APIs Healthcare 72

AWS Machine Learning

JUNE 10, 2022

You can build and deploy AugmentAbility locally on your computer or in your AWS account by using AWS Amplify Hosting , a fully managed CI/CD and static web hosting service for fast, secure, and reliable static and server-side rendered apps. This file is typically loaded into browser scripts using a tag that references the hosted SDK package.

Scripts 75

Scripts APIs Accountability Engineering 75

AWS Machine Learning

AUGUST 1, 2023

Furthermore, proprietary models typically come with user-friendly APIs and SDKs, streamlining the integration process with your existing systems and applications. It offers an easy-to-use API and Python SDK, balancing quality and affordability. No ML engineering experience required. It’s as easy as that!

Healthcare 74

Healthcare APIs Scripts Engineering 74

AWS Machine Learning

APRIL 29, 2024

This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons. It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability. The following figure illustrates this workflow.

APIs 90

APIs Engineering Scripts Management 90

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. We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. SageMaker runs the legacy script inside a processing container.

Scripts 122

Scripts APIs Engineering Construction 122

ChurnZero

MARCH 7, 2019

Job Opening: Sales Engineer. Our fast-growing startup is looking for a skilled, self-motivated problem solver to join our team as a Sales Engineer. As a Sales Engineer , you are the technical expert during the sales process. Create and update product demonstration scripts. SaaS/Cloud experience strongly preferred.

Engineering 8

Engineering Sales SaaS APIs 8

AWS Machine Learning

FEBRUARY 29, 2024

The AI platform team’s key objective is to ensure seamless access to Workbench services and SageMaker Studio for all Deutsche Bahn teams and projects, with a primary focus on data scientists and ML engineers. The AI team does not have AWS Management Console access to the AI platform team’s account.

APIs 99

APIs Construction Transportation Analytics 99

AWS Machine Learning

APRIL 23, 2024

Prerequisites To use Local Mode in SageMaker Studio applications, you must complete the following prerequisites: For pulling images from Amazon Elastic Container Registry (Amazon ECR), the account hosting the ECR image must provide access permission to the user’s Identity and Access Management (IAM) role.

Scripts 90

Scripts APIs Engineering Feedback 90

AWS Machine Learning

AUGUST 14, 2023

You can serialize pipelines to YAML files , expose them via a REST API , and scale them flexibly with your workloads, making it easy to move your application from a prototype stage to production. Prerequisites The first thing to do before we can use any AWS services is to make sure we have signed up for and created an AWS account.

Enterprise 69

Enterprise Scripts Best practices Analytics 69

AWS Machine Learning

APRIL 5, 2024

Gramener’s GeoBox solution empowers users to effortlessly tap into and analyze public geospatial data through its powerful API, enabling seamless integration into existing workflows. With the SearchRasterDataCollection API, SageMaker provides a purpose-built functionality to facilitate the retrieval of satellite imagery.

APIs 104

APIs Engineering Analytics Healthcare 104

AWS Machine Learning

APRIL 23, 2024

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 104

APIs Enterprise Scripts Accountability 104