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 81

APIs Scripts Accountability Enterprise 81

AWS Machine Learning

MAY 5, 2023

For example, searching for the terms “How to orchestrate ETL pipeline” returns results of architecture diagrams built with AWS Glue and AWS Step Functions. Therefore, users without ML expertise can enjoy the benefits of a custom labels model through an API call, because a significant amount of overhead is reduced.

Engineering 102

Engineering APIs Scripts Enterprise 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 88

Scripts APIs Engineering Enterprise 88

AWS Machine Learning

MARCH 23, 2023

In this post, we show how to activate privacy-preserving ML predictions for the most highly regulated environments. Although this example shows how to perform this for inference operations, you can extend the solution to training and other ML steps. It’s also important to phrase all computations as linear equations. resource("s3").Bucket

Scripts 99

Scripts APIs Government Analytics 99

AWS Machine Learning

DECEMBER 21, 2022

Amazon SageMaker Feature Store is a purpose-built feature management solution that helps data scientists and ML engineers securely store, discover, and share curated data used in training and prediction workflows. SageMaker Feature Store consists of an online and an offline mode for managing features.

Scripts 73

Scripts Engineering APIs Big data 73

AWS Machine Learning

MAY 23, 2023

For information about how to use JumpStart models programmatically, see Use SageMaker JumpStart Algorithms with Pretrained Models. In this post, we show how to deploy image and text generative AI models from JumpStart using the AWS Cloud Development Kit (AWS CDK). View the deployed resources on the AWS Management Console.

APIs 93

APIs Accountability Construction Management 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). Amazon EKS is a managed container service to run and scale Kubernetes applications on AWS. We show you how to download the necessary images, model files, container images, and.yaml manifest files.

APIs 76

APIs Scripts Banking Engineering 76

AWS Machine Learning

OCTOBER 2, 2023

The focus on managed and serverless services reduces the need to operate infrastructure for your pipeline and allows you to get started quickly. In this post, we delve deep into how the labeling and model building and training parts of the pipeline are implemented. Labeling jobs are used to manage labeling workflows.

Scripts 96

Scripts Construction Engineering APIs 96

AWS Machine Learning

JUNE 15, 2022

If you just want to read about this feature without running it yourself, you can refer to the Python script facet-search-query.py To deploy and experiment with the solution in this post, make sure that you have the following: An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies.

APIs 71

APIs Scripts Technology Engineering 71

AWS Machine Learning

NOVEMBER 21, 2023

We show you how to train a MATLAB machine learning model as a SageMaker training job and then deploy the model as a SageMaker real-time endpoint so it can process live, streaming data. This example will summarize each step, providing a practical understanding of how to leverage MATLAB and Amazon SageMaker for machine learning tasks.

Engineering 91

Engineering APIs Scripts Automotive 91

AWS Machine Learning

SEPTEMBER 28, 2022

SageMaker is a fully managed machine learning (ML) service. Additionally, you don’t need to manage servers. In this post, we show you how to get started with this library and optimize deploying your ML models on SageMaker hosting. After you install this library, the rest of this post talks about how you can use it.

Scripts 74

Scripts APIs Engineering Consulting 74

AWS Machine Learning

DECEMBER 29, 2022

Last year, we announced the general availability of RStudio on Amazon SageMaker , the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. There is no need to set up and manage clusters.

APIs 108

APIs Engineering Analytics Scripts 108

NobelBiz

FEBRUARY 15, 2023

A poorly managed opening of a new communication channel can have a negative impact on both customer satisfaction and call center. Offer training The best way to achieve a good launch of a new channel is to make sure your employees are aware of the new channels and know how to use them.

Call Center 52

Call Center Scripts Average Handle Time Customer effort 52

AWS Machine Learning

MAY 25, 2023

We then demonstrate how to use LangChain for tying everything together: Interfacing with LLMs hosted on Amazon SageMaker. After Amazon Bedrock launches, we will publish a follow-up post showing how to implement similar generative AI applications using Amazon Bedrock, so stay tuned. The API Gateway invokes the Lambda function.

APIs 77

APIs Enterprise Accountability Chatbots 77

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 80

Scripts Engineering APIs Consulting 80

AWS Machine Learning

JANUARY 12, 2023

In this post, we demonstrate how to link Salesforce and AWS in real time and use Amazon Translate from within Service Cloud. Amazon API Gateway with AWS Lambda integration that converts the input text to the target language using the Amazon Translate SDK. Take note of the API key and the API endpoint created during the deployment.

Customer Support 78

Customer Support APIs Scripts Enterprise 78

Totango

APRIL 26, 2021

Digital Engagement – Living in a digital world means timely digital tools to manage, visualize, and drive the digital journey. As part of the Digital Engagement focus, next week we will share more on how to manage your customers’ digital journey in Totango using SucceasBLOCs. In Kyoto, we’re investing in: .

Scripts 62

Scripts APIs Customer retention Enterprise 62

AWS Machine Learning

MAY 17, 2023

The events trigger Lambda functions to make API calls to Amazon Transcribe and invoke the real-time endpoint hosting the Flan T5 XL model. SageMaker endpoints are fully managed and support multiple hosting options and auto scaling. Once created, the endpoint can be invoked with the InvokeEndpoint API.

APIs 70

APIs Scripts Engineering Management 70

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. SageMaker with TensorBoard is supported by the SageMaker Data Manager plugin, with which domain users can access many training jobs in one place within the TensorBoard application. session.Session().region_name

Scripts 73

Scripts Metrics Construction APIs 73

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. The following diagram outlines the workflow of the DJL solution.

Engineering 75

Engineering APIs Scripts Education 75

JivoChat

JANUARY 17, 2023

Knowing how to code is a valuable skill in the market nowadays, which is required in several sectors and can help you get the differential quality to boost your career. You will also learn how to use Python for data science and machine learning, build GUIs and desktop applications with Python, automation, and game development. .

APIs 75

APIs Best practices Scripts Marketing 75

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. In this post, we detail how you can use Amazon SageMaker Pipelines local mode to run ML pipelines locally to reduce both pipeline development and run time while reducing cost.

Scripts 72

Scripts Engineering Management APIs 72

AWS Machine Learning

MARCH 21, 2023

This post introduces a best practice for managing custom code within your Amazon SageMaker Data Wrangler workflow. 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.

Scripts 62

Scripts Banking APIs Best practices 62

AWS Machine Learning

DECEMBER 19, 2022

This blog post demonstrates how to perform ML inference using an object detection model from the PyTorch Model Zoo within SageMaker. Finally, we will deploy the ML model, perform inference on it using SageMaker Batch Transform, and inspect the ML model output and learn how to interpret the results. Step 1: Setup. Architecture diagram.

Automotive 75

Automotive APIs Engineering Scripts 75

Babelforce

MAY 12, 2022

In this article, we’ll look at what automated outbound calls are, how they work, how to set them up and use them for your business. The computer follows a script, which tells it what to say within the call, and follows a series of programmed rules dictating how to respond to certain words, phrases, or occurrences during the call.

Interactive Voice Response 52

Interactive Voice Response Contact Center Telemarketing voip 52

AWS Machine Learning

APRIL 18, 2024

Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex cloud environments with precision. Traditionally, cloud engineers learning IaC would manually sift through documentation and best practices to write compliant IaC scripts.

Scripts 108

Scripts Best practices Engineering Accountability 108

COPC

OCTOBER 26, 2023

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. LLM interactions differ from prior generations of chatbots, which required scripted interactions.

Technology 78

Technology Customer Experience APIs Consulting 78

AWS Machine Learning

FEBRUARY 13, 2024

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

Accountability 109

Accountability Government Engineering Scripts 109

AWS Machine Learning

NOVEMBER 1, 2022

Although Autopilot eliminates the heavy lifting of building ML models, MLOps engineers still have to create, automate, and manage end-to-end ML workflows. In this post, we show how to create an end-to-end ML workflow to train and evaluate an Autopilot generated ML model using Pipelines and register it in the SageMaker model registry.

Scripts 78

Scripts APIs Metrics Engineering 78

AWS Machine Learning

MARCH 20, 2023

In this post, we show you how to build and deploy INT8 inference with your own processing container for PyTorch. Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. py scripts for testing. Refer to invoke-INT8.py

Calibration 78

Calibration Scripts Benchmark APIs 78

AWS Machine Learning

MARCH 1, 2023

Amazon Comprehend is a managed AI service that uses natural language processing (NLP) with ready-made intelligence to extract insights about the content of documents. Flywheel creates a data lake (in Amazon S3) in your account where all the training and test data for all versions of the model are managed and stored.

APIs 68

APIs Metrics Accountability Scripts 68

AWS Machine Learning

AUGUST 10, 2022

It’s one of the hardest but most important tasks in order to obtain better results in your crop management system. Amazon Rekognition Custom Labels is a fully managed computer vision service that allows developers to build custom models to classify and identify objects in images that are specific and unique to your business.

Scripts 77

Scripts APIs Enterprise Analytics 77

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. Additionally, we show how to incrementally train a model that you have previously fine-tuned.

Scripts 66

Scripts APIs Enterprise Accountability 66

AWS Machine Learning

AUGUST 1, 2023

Amazon SageMaker , a fully managed ML service, provides an ideal platform for hosting and implementing various AI/ML-based summarization models and approaches. Furthermore, proprietary models typically come with user-friendly APIs and SDKs, streamlining the integration process with your existing systems and applications.

Healthcare 74

Healthcare APIs Scripts Engineering 74

Nexmo

MAY 1, 2020

A Vonage APIs (formerly Nexmo) account. Express web service, using the Vonage Voice API to answer the call and return a Nexmo Call Control Object (NCCO) telling the API to use text-to-speech to speak a phrase and then wait for user input via the phone keypad. Vonage APIs Setup. An ngrok account. A Heroku account.

APIs 77

APIs Interactive Voice Response Accountability Scripts 77

AWS Machine Learning

MAY 22, 2023

This post describes how to perform instruction fine-tuning of an LLM, namely FLAN T5 XL, using Amazon SageMaker Jumpstart. We demonstrate how to accomplish this using both the Jumpstart UI and a notebook in Amazon SageMaker Studio. This process modifies the weights of the model. It can be run in Studio or locally.

APIs 92

APIs Scripts Metrics Accountability 92

AWS Machine Learning

FEBRUARY 13, 2023

According to Accenture , companies that manage to efficiently scale AI and ML can achieve nearly triple the return on their investments. 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.

Scripts 74

Scripts Best practices Transportation Construction 74