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 101

Engineering APIs Scripts Enterprise 101

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 77

APIs Scripts Accountability Enterprise 77

AWS Machine Learning

AUGUST 4, 2023

In this post, we expand on this topic to demonstrate how to use Einstein Studio for product recommendations. 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 77

APIs Scripts Management Accountability 77

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 82

Scripts APIs Engineering Enterprise 82

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 93

Scripts APIs Government Analytics 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). We show you how to download the necessary images, model files, container images, and.yaml manifest files. We also show how you can serve the model using FastAPI to predict the 3D protein structure.

APIs 76

APIs Scripts Banking Engineering 76

Nexmo

OCTOBER 7, 2020

In a previous post , we showed you how to build and publish a Web Component. Now it’s time to see how to use a top feature of Web Components: Custom components and widgets build on the Web Component standards will work across modern browsers, and they can be used with any JavaScript library or framework that works with HTML.

APIs 118

APIs Scripts Accountability 118

AWS Machine Learning

DECEMBER 21, 2022

By the end of this post, you will know how to create feature groups using the Iceberg format, execute Iceberg’s table management procedures using Amazon Athena , and schedule these tasks to run autonomously. If you are a Spark user, you will also learn how to execute the same procedures using Spark. You can also use the FeatureGroup().put_record

Scripts 72

Scripts Engineering APIs Big data 72

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). The cdk.json file tells the AWS CDK Toolkit how to run your application.

APIs 90

APIs Accountability Construction Management 90

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 76

APIs Enterprise Accountability Chatbots 76

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 79

Scripts Engineering APIs Consulting 79

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 Set up the infrastructure and run the Python script to query the Amazon Kendra index. For convenience, all the steps are included in one Python script. Prerequisites. Access to AWS CloudShell.

APIs 70

APIs Scripts Technology Engineering 70

AWS Machine Learning

AUGUST 30, 2023

We demonstrate how to accomplish this using a notebook in Amazon SageMaker Studio. In order to run inference through SageMaker API, make sure to pass the Predictor class. It reduces computation costs, reduces carbon footprints, and allows you to use state-of-the-art models without having to train one from scratch.

Healthcare 109

Healthcare APIs Metrics Scripts 109

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 77

Customer Support APIs Scripts Enterprise 77

NobelBiz

FEBRUARY 15, 2023

Key Points CCaaS is paramount to successfully add a new communication channel You must consider the tone, scripts and pace of new channels Your Call Center must track the right KPIs for every new channel How to add a new communication channel in a call center? Integration with your current software (CRM, API etc.)

Call Center 52

Call Center Scripts Average Handle Time Customer effort 52

AWS Machine Learning

SEPTEMBER 28, 2022

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. Prepare your trained model and inference script. pth,pkl, and so on) and an inference script.

Scripts 74

Scripts APIs Engineering Consulting 74

Totango

APRIL 26, 2021

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. System Browser Scripts settings – You can now enable/disable session recordings in Global Settings -> General. Digital Engagement .

Scripts 62

Scripts APIs Customer retention Enterprise 62

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 2, 2023

For more details on how to set up a labeling job for bounding box tasks, check out Streamlining data labeling for YOLO object detection in 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 90

Scripts Construction Engineering APIs 90

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 85

Engineering APIs Scripts Automotive 85

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. Once created, the endpoint can be invoked with the InvokeEndpoint API. The solution can be deployed with other FMs available on JumpStart. Delete the CloudFormation stack. Delete the Lambda layer.

APIs 69

APIs Scripts Engineering Management 69

AWS Machine Learning

DECEMBER 29, 2022

Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. In this blog post, we will show you how to use both of these services together to efficiently perform analysis on massive data sets in the cloud while addressing the challenges mentioned above. Solution overview.

APIs 102

APIs Engineering Analytics Scripts 102

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 74

Engineering APIs Scripts Education 74

AWS Machine Learning

MAY 16, 2023

In this post, we walk through how to deploy the GPT-NeoXT-Chat-Base-20B model and invoke the model within an OpenChatKit interactive shell. As a JumpStart model hub customer, you get improved performance without having to maintain the model script outside of the SageMaker SDK. The inference script is prepacked with the model artifact.

Chatbots 84

Chatbots Scripts APIs Feedback 84

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 88

APIs Scripts Engineering Best practices 88

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 72

Scripts Metrics Construction APIs 72

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 62

Scripts Banking APIs Best practices 62

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 94

Scripts Best practices Engineering Accountability 94

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 77

Technology Customer Experience APIs Consulting 77

AWS Machine Learning

NOVEMBER 17, 2022

JumpStart APIs allow you to programmatically deploy and fine-tune a vast selection of JumpStart-supported pre-trained models on your own datasets. JumpStart allows you to train, tune, and deploy models either from the JumpStart console using its UI or with its API. Solution overview. Conclusion.

APIs 78

APIs Scripts Metrics 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 77

Calibration Scripts Benchmark APIs 77

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 74

Automotive APIs Engineering Scripts 74

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

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

OCTOBER 4, 2022

Developers usually test their processing and training scripts locally, but the pipelines themselves are typically tested in the cloud. Writing the scripts to transform the data is typically an iterative process, where fast feedback loops are important to speed up development. Build your pipeline.

Scripts 71

Scripts Engineering Management APIs 71

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. How do I get the secret for my accounts?

APIs 77

APIs Interactive Voice Response Accountability Scripts 77

AWS Machine Learning

AUGUST 21, 2023

In this post, we show how to improve model explainability in clinical settings using Amazon SageMaker Clarify. You also use a custom inference script to do the predictions within the container. Here, you supply the same model_name used in the create_model API call.

Healthcare 76

Healthcare APIs Scripts Finance 76