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 75

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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).

APIs 73

APIs Accountability Scripts Management 73

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. SageMaker services, such as Processing, Training, and Hosting, collect metrics and logs from the running instances and push them to users’ Amazon CloudWatch accounts.

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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 90

APIs Scripts Entertainment Personalization 90

Nexmo

AUGUST 14, 2019

And thus I thought it’d be fun to design and build something with Nexmo’s Voice and SMS APIs to do just that. To work through this tutorial, you will need a Nexmo account. You can sign up now for free if you don’t already have an account. Create a Nexmo Account. Recording of the clue plays.

APIs 63

APIs Scripts Accountability 63

AWS Machine Learning

JANUARY 9, 2023

Amazon Kendra Intelligent Ranking application programming interface (API) – The functions from this API are used to perform tasks related to provisioning execution plans and semantic re-ranking of your search results. For this tutorial, you’ll need a bash terminal on Linux , Mac , or Windows Subsystem for Linux , and an AWS account.

Scripts 81

Scripts APIs Engineering Management 81

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. Log in to your account and choose the Region where you want to deploy the solution.

APIs 89

APIs Scripts Accountability Engineering 89

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 80

APIs Scripts Management Accountability 80

AWS Machine Learning

SEPTEMBER 12, 2023

Solution overview Scalable Capital’s ML infrastructure consists of two AWS accounts: one as an environment for the development stage and the other one for the production stage. The function then relays the classification back to CRM through the API Gateway public endpoint.

Management 94

Management CRM APIs Metrics 94

AWS Machine Learning

MAY 31, 2023

Once configured, the Python SDK automatically inherits these values and propagates them to the underlying SageMaker API calls such as CreateProcessingJob() , CreateTrainingJob() , and CreateEndpointConfig() , with no additional actions needed. The steps are as follows: Launch the CloudFormation stack in your account.

APIs 80

APIs Scripts Accountability Enterprise 80

AWS Machine Learning

SEPTEMBER 11, 2023

You must also associate a security group for your VPC with these endpoints to allow all inbound traffic from port 443: SageMaker API: com.amazonaws.region.sagemaker.api. This is required to communicate with the SageMaker API. SageMaker runtime: com.amazonaws.region.sagemaker.runtime.

Scripts 95

Scripts APIs Management Best practices 95

Zingtree

APRIL 14, 2015

We’re proud to announce that we’ve “officially” launched our Agent Scripting for call centers. Zingtree Interactive Decision Tree System Redefines Call Center Agent Scripting with New App. New agent scripting tools aid in training and corporate compliance for call center applications. Press release time

Scripts 48

Scripts Call Center Customer Support APIs 48

Nexmo

OCTOBER 7, 2020

Vonage API Account. To complete this tutorial, you will need a Vonage API account. Once you have an account, you can find your API Key and API Secret at the top of the Vonage API Dashboard. Web Component polyfill --> <script src="[link]. <!-- A GitHub account.

APIs 118

APIs Scripts Accountability 118

AWS Machine Learning

JANUARY 12, 2023

Amazon API Gateway with AWS Lambda integration that converts the input text to the target language using the Amazon Translate SDK. This solution has the following prerequisites: An AWS account. A Salesforce Trailhead account associated with your Salesforce Developer Edition org. Prerequisites. Salesforce Code Builder.

Customer Support 80

Customer Support APIs Scripts Enterprise 80

AWS Machine Learning

JANUARY 25, 2023

Additionally, unlike non-deep-learning techniques such as nearest neighbor, Stable Diffusion takes into account the context of the image, using a textual prompt to guide the upscaling process. Running large models like Stable Diffusion requires custom inference scripts.

Scripts 75

Scripts APIs Real estate Entertainment 75

AWS Machine Learning

SEPTEMBER 14, 2023

Unstructured data accounts for 80% of all the data found within organizations, consisting of repositories of manuals, PDFs, FAQs, emails, and other documents that grows daily. Amazon API Gateway hosts a REST API with various endpoints to handle user requests that are authenticated using Amazon Cognito.

APIs 95

APIs Chatbots Scripts Healthcare 95

AWS Machine Learning

DECEMBER 21, 2022

The offline store data is stored in an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account. A new optional parameter TableFormat can be set either interactively using Amazon SageMaker Studio or through code using the API or the SDK. put_record API to ingest individual records or to handle streaming sources.

Scripts 75

Scripts APIs Engineering Big data 75

Totango

APRIL 26, 2021

Campaigns, SuccessPlays, Account, and User segments with more than one collection criteria now returns accurate results when all the collection criteria match the same collection record. System Browser Scripts settings – You can now enable/disable session recordings in Global Settings -> General.

Scripts 62

Scripts APIs Customer retention Metrics 62

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

Scripts 73

Scripts APIs Technology Management 73

AWS Machine Learning

AUGUST 17, 2023

Option B: Use a SageMaker Processing job with Spark In this option, we use a SageMaker Processing job with a Spark script to load the original dataset from Amazon Redshift, perform feature engineering, and ingest the data into SageMaker Feature Store. The environment preparation process may take some time to complete.

APIs 76

APIs Engineering Analytics Scripts 76

AWS Machine Learning

JUNE 28, 2023

Solution overview Amazon Rekognition and Amazon Comprehend are managed AI services that provide pre-trained and customizable ML models via an API interface, eliminating the need for machine learning (ML) expertise. The RESTful API will return the generated image and the moderation warnings to the client if unsafe information is detected.

APIs 81

APIs Advertising Engineering Scripts 81

AWS Machine Learning

SEPTEMBER 18, 2023

Each stage in the ML workflow is broken into discrete steps, with its own script that takes input and output parameters. In the following code, the desired number of actors is passed in as an input argument to the script. Let’s look at sections of the scripts that perform this data preprocessing. get("OfflineStoreConfig").get("S3StorageConfig").get("ResolvedOutputS3Uri")

Scripts 93

Scripts APIs Management Government 93

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. For details, refer to Creating an AWS account.

Chatbots 89

Chatbots APIs Engineering Best practices 89

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 93

APIs Accountability Management Technology 93

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. If you need to customize the OpenFold APIs, use the fastapi-server.py

Scripts 79

Scripts APIs Banking Engineering 79

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 79

APIs Enterprise Chatbots Accountability 79

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. Solution overview.

Scripts 80

Scripts APIs Enterprise Big data 80

AWS Machine Learning

MARCH 21, 2023

Instead of hardcoding the custom function into your custom transform step, you pull a script containing the function from CodeCommit, load it, and call the loaded function in your custom transform step. We use the get_file API function to pull files from the CodeCommit repository into the Data Wrangler environment. Choose Preview.

Scripts 63

Scripts Banking Best practices APIs 63

AWS Machine Learning

JANUARY 6, 2023

To implement this solution, you should have an AWS account , familiarity with OpenSearch Service, SageMaker, Lambda, and AWS CloudFormation , and have completed the steps in Part 1 and Part 2 of this series. Creates an API Gateway that adds an additional layer of security between the web app user interface and Lambda. Prerequisites.

APIs 86

APIs Entertainment Scripts Analytics 86

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. Prerequisites You first need an AWS account and an AWS Identity and Access Management (IAM) administrator user. We save the model as a model.pt

APIs 83

APIs Scripts Accountability Best practices 83

AWS Machine Learning

APRIL 27, 2023

Similar to the process of PyTorch integration with C++ code, Neuron CustomOps requires a C++ implementation of an operator via a NeuronCore-ported subset of the Torch C++ API. Finally, the custom library is built by calling the load API. For more information, refer to Custom Operators API Reference Guide [Experimental].

APIs 75

APIs Engineering Scripts Benchmark 75

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 96

Scripts APIs Analytics Government 96

AWS Machine Learning

MAY 10, 2023

When they create a SageMaker training job, domain users can use TensorBoard using the SageMaker Python SDK or Boto3 API. Solution overview A typical training job for deep learning in SageMaker consists of two main steps: preparing a training script and configuring a SageMaker training job launcher. session.Session().region_name

Scripts 75

Scripts Metrics Management APIs 75

AWS Machine Learning

MARCH 22, 2023

An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles. Access and permissions to configure IDP to register Data Wrangler application and set up the authorization server or API. For each user, the authorization server or the API sends tokens to Data Wrangler with Snowflake as the audience.

APIs 82

APIs Analytics Scripts Engineering 82

AWS Machine Learning

JULY 5, 2022

Lifecycle configurations (LCCs) are shell scripts to automate customization for your Studio environments, such as installing JupyterLab extensions, preloading datasets, and setting up source code repositories. LCC scripts are triggered by Studio lifecycle events, such as starting a new Studio notebook. Apply the script (see below).

Scripts 82

Scripts Engineering APIs Analytics 82

Nexmo

MAY 1, 2020

A service with 2FA support (such as a Google Account ). A Vonage APIs (formerly Nexmo) account. An ngrok account. A Heroku account. This is a very simple Interactive Voice Response (IVR) system, but we won’t go into how the Voice API works here. Vonage APIs Setup. installed locally (I used v12.6.1).

APIs 77

APIs Interactive Voice Response Accountability Scripts 77

AWS Machine Learning

AUGUST 21, 2023

Prerequisites You need the following prerequisites: An AWS account A SageMaker Jupyter notebook instance Access the code from the GitHub repository and upload it to your notebook instance. You also use a custom inference script to do the predictions within the container.

Healthcare 79

Healthcare APIs Scripts Analytics 79