AWS Machine Learning

JANUARY 9, 2023

In this post, we show you how to get started with Amazon Kendra Intelligent Ranking for self-managed OpenSearch, and we provide a few examples that demonstrate the power and value of this feature. Create and start OpenSearch using the Quickstart script. script: wget [link] chmod +x search_processing_kendra_quickstart.sh.

Scripts 85

Scripts APIs Engineering Transportation 85

AWS Machine Learning

JULY 25, 2024

Any additional mappings need to be set in the user store using the user store APIs. Overview of solution This post presents the steps to create a certificate and private key, configure Azure AD (either using the Azure AD console or a PowerShell script), and configure Amazon Q Business. Using the provided PowerShell script.

Scripts 87

Scripts APIs Engineering Enterprise 87

AWS Machine Learning

AUGUST 4, 2023

Although we use a specific algorithm to train the model in our example, you can use any algorithm that you find appropriate for your use case. 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.

APIs 82

APIs Scripts Management Accountability 82

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. Additionally, each API call can have its own configurations.

APIs 84

APIs Scripts Accountability Enterprise 84

AWS Machine Learning

MARCH 23, 2023

To demonstrate this, we show an example of customizing an Amazon SageMaker Scikit-learn, open sourced, deep learning container to enable a deployed endpoint to accept client-side encrypted inference requests. Although this example shows how to perform this for inference operations, you can extend the solution to training and other ML steps.

Scripts 102

Scripts APIs Government Analytics 102

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 91

Scripts APIs Engineering Enterprise 91

AWS Machine Learning

FEBRUARY 29, 2024

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 121

APIs Healthcare Scripts Enterprise 121

AWS Machine Learning

NOVEMBER 26, 2023

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.” To explore the impact of Amazon Personalize Content Generator in detail, let’s look at two examples.

Personalization 109

Personalization Customer Experience APIs Entertainment 109

AWS Machine Learning

DECEMBER 21, 2022

For example, you can use the AWS Glue Data Catalog as the metastore for Iceberg tables, and Athena supports read, time travel, write, and DDL queries for Apache Iceberg tables that use the Apache Parquet format for data and the AWS Glue catalog for their metastore. put_record API to ingest individual records or to handle streaming sources.

Scripts 77

Scripts Engineering APIs Big data 77

AWS Machine Learning

MAY 5, 2023

Specifically, we use the example of architecture diagrams for complex images due to their incorporation of numerous different visual icons and text. For example, if a user tried to search for a specific type of blue bottle, results of many different types of blue bottles will be displayed.

Engineering 102

Engineering APIs Scripts Enterprise 102

AWS Machine Learning

SEPTEMBER 28, 2022

The SageMakerMigration class consists of high-level abstractions over SageMaker APIs that significantly reduce the steps needed to deploy your model to SageMaker, as illustrated in the following figure. Prepare your trained model and inference script. pth,pkl, and so on) and an inference script.

Scripts 78

Scripts APIs Engineering Consulting 78

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). We use aws-do-eks , an open-source project that provides a large collection of easy-to-use and configurable scripts and tools to enable you to provision EKS clusters and run your inference.

APIs 81

APIs Scripts Banking Engineering 81

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]. <!-- This tutorial also uses a virtual phone number.

APIs 118

APIs Scripts Accountability 118

AWS Machine Learning

JUNE 15, 2022

Let’s take the example of a repository of AWS documents of types User_Guides , Reference_Guides and Release_Notes , regarding compute, storage, and database technologies. If you just want to read about this feature without running it yourself, you can refer to the Python script facet-search-query.py Access to AWS CloudShell.

APIs 75

APIs Scripts Technology Engineering 75

AWS Machine Learning

JANUARY 5, 2024

Continuous integration and continuous delivery (CI/CD) pipeline – Using the customer’s GitHub repository enabled code versioning and automated scripts to launch pipeline deployment whenever new versions of the code are committed. Wipro has used the input filter and join functionality of SageMaker batch transformation API.

Management 118

Management APIs Engineering Government 118

AWS Machine Learning

MAY 16, 2023

As a JumpStart model hub customer, you get improved performance without having to maintain the model script outside of the SageMaker SDK. endpoint_name = name_from_base(f"jumpstart-example-{model_id}") # Retrieve the inference instance type for the specified model. The inference script is prepacked with the model artifact.

Chatbots 89

Chatbots Scripts APIs Feedback 89

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 84

Scripts Engineering APIs Consulting 84

AWS Machine Learning

OCTOBER 2, 2023

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. If you want to try the working example yourself, check out the accompanying GitHub repository. SageMaker Feature Store supports storing features in tabular format.

Scripts 100

Scripts Construction Engineering APIs 100

AWS Machine Learning

MAY 23, 2023

JumpStart also provides solution templates that set up infrastructure for common use cases, and executable example notebooks for ML with Amazon SageMaker. You can access the pre-trained models, solution templates, and examples through the JumpStart landing page in Amazon SageMaker Studio. Clone and set up the AWS CDK application.

APIs 97

APIs Accountability Construction Management 97

AWS Machine Learning

MAY 10, 2023

TensorFlow and PyTorch projects both endorse and use TensorBoard in their official documentation and examples. When they create a SageMaker training job, domain users can use TensorBoard using the SageMaker Python SDK or Boto3 API. is your training script, and simple_tensorboard.ipynb launches the SageMaker training job.

Scripts 77

Scripts Metrics Construction APIs 77

AWS Machine Learning

AUGUST 30, 2023

For example, we could use a specialized language model pre-trained on clinical reports from scratch. The following figure is an example of a radiology report. To fine-tune this model through SageMaker Jumpstart, labeled examples must be provided in the form of {prompt, completion} pairs.

Healthcare 119

Healthcare APIs Metrics Scripts 119

JustCall

APRIL 3, 2024

Automation features and open API: An auto dialer offers open APIs so your developers can- – Build automation workflows for call logging, – Build workflows for notes logging – Help with reporting and analytics tasks (i.e., Open API for custom integrations and workflows. creating visualizations such as charts).

Sales 52

Sales CRM Scripts APIs 52

Nexmo

MAY 1, 2020

secret=KVKFKRCPNZQUYMLXOVYDSQKJKZDTSRLD&issuer=Example. There are a few things you’ll need for this example: Google Authenticator ( Android / iOS , or any similar OATH TOTP app). A Vonage APIs (formerly Nexmo) account. for this example because it makes it really easy to run a simple web service. Vonage APIs Setup.

APIs 77

APIs Interactive Voice Response Accountability Scripts 77

AWS Machine Learning

APRIL 19, 2023

Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts. Ideally, we instead want to load the model PyTorch scripts, extract the features from model input, and run model inference entirely in Java. However, a few issues came with this solution.

Engineering 79

Engineering APIs Scripts Education 79

AWS Machine Learning

AUGUST 10, 2022

Test the new custom model using the automatically generated API endpoint. The following images show some examples. For example: You need to label fruits in the provided image. You can also optionally provide examples of good and bad labeling images. Download this script from of the GitHub repo. Train the model.

Scripts 81

Scripts APIs Enterprise Analytics 81

AWS Machine Learning

JUNE 9, 2022

Recently, we also announced the launch of easy-to-use JumpStart APIs as an extension of the SageMaker Python SDK, allowing you to programmatically deploy and fine-tune a vast selection of JumpStart-supported pre-trained models on your own datasets. We now go over a quick example of how you can replicate the preceding process.

Scripts 70

Scripts APIs Enterprise Accountability 70

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 108

APIs Healthcare Scripts Enterprise 108

COPC

OCTOBER 26, 2023

Examples include ChatGPT from Open AI, Bard from Google, and Llama from Meta. Crafting LLM AI Assistants: Roles, Process and Timelines Using the latest AI may seem as easy as developers using APIs in commercial LLM options like OpenAI. But it’s much more than enlisting engineers to call LLM APIs.

Technology 78

Technology Customer Experience APIs Consulting 78

AWS Machine Learning

NOVEMBER 17, 2022

Some well-known examples of image classification include classifying handwritten digits, medical image classification, and facial recognition. JumpStart APIs allow you to programmatically deploy and fine-tune a vast selection of JumpStart-supported pre-trained models on your own datasets. Solution overview.

APIs 84

APIs Scripts Metrics 84

AWS Machine Learning

MARCH 20, 2023

In the following example figure, we show INT8 inference performance in C6i for a BERT-base model. Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. The code snippets are derived from a SageMaker example.

Calibration 82

Calibration Scripts Benchmark APIs 82

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 93

APIs Scripts Engineering Best practices 93

AWS Machine Learning

JUNE 4, 2024

The workflow includes the following steps: The user runs the terraform apply The Terraform local-exec provisioner is used to run a Python script that downloads the public dataset DialogSum from the Hugging Face Hub. This example uses just the training split. Your data remains in the Region where the API call is processed.

Scripts 118

Scripts Accountability Engineering Best practices 118

AWS Machine Learning

NOVEMBER 21, 2023

To do this, we’ll use a predictive maintenance example where we classify faults in an operational pump that’s streaming live sensor data. We Our objective is to demonstrate the combined power of MATLAB and Amazon SageMaker using this fault classification example. In this example, the data is already clean.

Engineering 94

Engineering APIs Scripts Automotive 94

AWS Machine Learning

JUNE 12, 2024

This solution uses an Amazon Cognito user pool as an OAuth-compatible identity provider (IdP), which is required in order to exchange a token with AWS IAM Identity Center and later on interact with the Amazon Q Business APIs. Amazon Q uses the chat_sync API to carry out the conversation. You can also find the script on the GitHub repo.

APIs 117

APIs Enterprise Accountability Feedback 117

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 81

APIs Enterprise Accountability Chatbots 81

AWS Machine Learning

JULY 25, 2024

If it detects error messages specifically related to the Neuron device (which is the Trainium or AWS Inferentia chip), it will change NodeCondition to NeuronHasError on the Kubernetes API server. In the training scripts, it saves checkpoints periodically so that the training will resume from the previous checkpoint.

Construction 97

Construction Metrics Scripts Engineering 97

AWS Machine Learning

DECEMBER 19, 2022

We walk through an end-to-end example, from loading the Faster R-CNN object detection model weights, to saving them to an Amazon Simple Storage Service (Amazon S3) bucket, and to writing an entrypoint file and understanding the key parameters in the PyTorchModel API. Step 4: Building ML model inference scripts. Step 1: Setup.

Automotive 79

Automotive APIs Engineering Scripts 79