AWS Machine Learning

APRIL 18, 2024

Everything you need is provided as open source in our GitHub repo. The Call Event Processor integrates with the meeting assist services. To customize the meeting assist capabilities based on the QnABot on AWS solution, Amazon Lex, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock integration, see the Meeting Assist README.

Knowledge Base 110

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AWS Machine Learning

NOVEMBER 17, 2023

You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo. Solution overview This solution integrates with Amazon IVS by reading thumbnail images from an S3 bucket and sending images to the Amazon Rekognition Image Moderation API.

Video 90

Video Policies e-support System 90

AWS Machine Learning

OCTOBER 2, 2023

We also provide an accompanying GitHub repo if you want to deploy and try this yourself. 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. The Step Functions integration in CodePipeline makes this task very easy.

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AWS Machine Learning

JUNE 10, 2022

This post demonstrates how you can use the AWS SDK for JavaScript to integrate capabilities provided by AWS AI services into your own solutions. The source code of this application, AWS AugmentAbility, is available on GitHub to use as a starting point for your own projects. Solution overview.

Communication 76

Communication Resources Guidelines Policies 76

AWS Machine Learning

FEBRUARY 15, 2023

JumpStart APIs unlock the usage of JumpStart capabilities in your workflows, and integrate with tools such as the model registry that are part of MLOps pipelines and anywhere else you’re interacting with SageMaker via SDK. The code samples for this example is available on GitHub. sm_client = boto3.client("sagemaker") client("s3") s3.download_file(f"sagemaker-sample-files",

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AWS Machine Learning

SEPTEMBER 6, 2023

To protect the application and APIs from inadvertent access, Amazon Cognito is integrated into Amplify React, API Gateway, and Lambda functions. Implement the solution An AWS CDK project that includes all the architectural components has been made available in this AWS Samples GitHub repository. Go to the root folder.

Policies 97

Policies Insurance Advertising Resources 97

AWS Machine Learning

DECEMBER 1, 2023

As we continue to innovate to increase data science productivity, we’re excited to announce the improved SageMaker Studio experience, which allows users to select the managed Integrated Development Environment (IDE) of their choice, while having access to the SageMaker Studio resources and tooling across the IDEs.

Travel 98

Travel Training Resources Tools 98

AWS Machine Learning

OCTOBER 4, 2023

The solution is available in the Determine Coverage Requirements Discovery using CDS Hooks with AWS HealthLake GitHub repo. Integrate CDS Hooks with your clinical workflow when the CloudFormation stack deployment is complete. CDS Hooks can be integrated with EHR that supports CDS Hooks.

Healthcare 92

Healthcare Insurance Resources Transportation 92

AWS Machine Learning

MARCH 11, 2024

VistaPrint uses the Segment Amazon Lambda Destination to perform additional data transformations and to get flexibility to integrate with additional observability tooling not shown, but other AWS customers can consider Segment’s Amazon Personalize Destination which is suitable for simpler integrations.

Ecommerce 95

Ecommerce System Sports Software 95

AWS Machine Learning

APRIL 8, 2024

Similar to LangChain, LlamaIndex offers a number of tools, including data connectors, data indexes, engines, and data agents, as well as application integrations such as tools and observability, tracing, and evaluation. All the code in this post is available in the GitHub repo. Query the knowledge base.

Knowledge Base 101

Knowledge Base Tools Data Training 101

AWS Machine Learning

JANUARY 16, 2024

This analysis empowers users to make informed decisions when integrating Whisper models into their specific use cases and systems. The example notebook and code for this solution are available on this GitHub repository. For additional details, please refer to the code on GitHub.

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AWS Machine Learning

DECEMBER 12, 2023

This is just one example of how you can enrich Chat Studio with additional integrations to meet your goals. Complete the following steps: Navigate to the GitHub repository and download the CloudFormation template ( lambda.cfn.yaml ) to your local machine. Navigate to the GitHub repository and download the react-llm-chat-studio code.

Interaction 102

Interaction Chatbots Training How To 102

AWS Machine Learning

MARCH 12, 2024

AWS integration – Nitro Enclaves is integrated with AWS Key Management Service (AWS KMS), allowing you to decrypt files that have been encrypted using AWS KMS inside the enclave. Install Git and Docker to build Docker images and download the application from GitHub. You need to update the server.py

Chatbots 92

Chatbots Data Policies Healthcare 92

AWS Machine Learning

APRIL 3, 2024

Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML). All the code for this post is available in the GitHub repo. An index created in the Amazon OpenSearch Serverless collection serves as the vector store for our Retrieval Augmented Generation (RAG) solution.

Policies 102

Policies Examples Ecommerce User Experience 102

AWS Machine Learning

MARCH 20, 2023

SageMaker provides you with a bring your own container (BYOC) approach and integrated tools so that you can run quantization. To access the code and documentation, refer to the GitHub repo. pt")) Clean up Refer to the Github repo for steps to clean up the AWS resources created. times greater with INT8 quantization.

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AWS Machine Learning

JULY 3, 2023

PDF Translate – An open-source library written in Java and published on AWS Samples in GitHub. The source and translated PDF documents can also be found in the AWS Samples GitHub repo. The code can then be integrated into an automated solution to deploy and run in AWS. The code examples are available on the GitHub repo.

How To 71

How To Healthcare Policies Examples 71

AWS Machine Learning

APRIL 4, 2023

We use the Time Series Clustering using TSFresh + KMeans notebook, which is available on our GitHub repo. We recommend running this notebook on Amazon SageMaker Studio , a web-based, integrated development environment (IDE) for ML. UCI Machine Learning Repository: [link].

Competitive Advantage 83

Competitive Advantage Metrics Training Sports 83

AWS Machine Learning

MARCH 1, 2024

Self-service bots integrated with your call center can help you achieve decreased wait times, intelligent routing, decreased time to resolution through self-service functions or data collection, and improved net promoter scores (NPS). Choose Admin , Integrations , Add Integrations , and Amazon EventBridge Source.

Chatbots 96

Chatbots Self Service Omni-Channel Contact Center 96

AWS Machine Learning

JUNE 8, 2022

The Uneeq digital human interfaces with a simple REST API, configured with Lambda proxy integration that in turn interacts with a deployed Amazon Lex bot. Deploy the integration, which is a simple API Gateway REST API and Lambda function using AWS Serverless Application Model (AWS SAM). Deploy the integration using AWS SAM.

Virtual Agent 84

Virtual Agent Telecommunications Chatbots Healthcare 84

AWS Machine Learning

NOVEMBER 7, 2023

The model then skillfully integrates this outside information into its generated text. This integration provides precise and context-aware answers to complex queries by drawing from a diverse range of sources. We have provided this demo in the GitHub repo. We have provided this demo in the GitHub repo.

Data 96

Data Comparison Guidelines Training 96

AWS Machine Learning

DECEMBER 14, 2023

By seamlessly integrating RAG into the process, we can streamline and enhance the efficiency of prompt design. To help you get started to construct a RAG-based AI assistant for prompt design, we’ve put together a comprehensive demonstration in our GitHub repository.

Entertainment 96

Entertainment Guidelines Advertising Resources 96

AWS Machine Learning

OCTOBER 2, 2023

If you want to have a deeper look at the inference code we built, refer to the GitHub repo. The serverless nature of this service and native Step Functions capabilities like AWS service API integrations allow you to quickly set up this workflow. Firstly, we simulate an edge device.

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Training Software System Effort Score 91

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. Load the AWS CDK module from GitHub into the AWS Cloud9 environment. The steps are as follows: Open AWS Cloud9 on the console. Navigate to the AWS Cloud9 console.

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Analysis Training Resources Policies 75

AWS Machine Learning

SEPTEMBER 28, 2022

You get an integrated Jupyter notebook environment with easy access to your data sources. The library can be found in the GitHub repository. The SageMakerMigration class is available through a Python library published to GitHub. TensorFlow has slightly different handlers because it’s integrated with TensorFlow Serving.

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Training Data Travel Examples 76

AWS Machine Learning

MARCH 31, 2023

To achieve a more efficient and accurate workflow, insurance companies can integrate IDP on AWS into the underwriting and claims process. Please raise a pull request to the GitHub repo for any feature requests you may have. This is where IDP on AWS comes in. Clean up To remove the solution, run the cdk destroy command.

Insurance 67

Insurance Training Financial How To 67

AWS Machine Learning

JULY 8, 2022

The open-source community and researchers are concentrating on how to improve OCR accuracy, ease of use, integration with pre-trained models, extension, and flexibility. See the PaddleOCR GitHub repo for more details. At AWS, we have also proposed integrated AI services that are ready to use with no machine learning (ML) expertise.

Training 81

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AWS Machine Learning

OCTOBER 12, 2022

You can find the detailed JSON structure definition in the GitHub repo. The Condition class source code is in the sample GitHub repo. For more information about integrating Amazon A2I into any custom ML workflow, refer to over 60 pre-built worker templates on the GitHub repo and Use Amazon Augmented AI with Custom Task Types.

Effort Score 83

Effort Score Data Customers How To 83

AWS Machine Learning

NOVEMBER 21, 2023

After training our model, we deploy it as a live endpoint which can be integrated into a downstream app or dashboard, such as a MATLAB Web App. input = trainPredictors(10:19,:) prediction = predictor.predict(input) Part 7: Dashboard integration The SageMaker endpoint can be called by many native AWS services.

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AWS Machine Learning

MAY 9, 2023

The final result is stored as specific FHIR resources (the extracted text is loaded in DocumentReference as base64 encoded text) in Amazon HealthLake to extract meaning from the unstructured data with integrated Amazon Comprehend Medical for easy search and querying. Refer to the GitHub repo for more deployment details.

Healthcare 70

Healthcare Data Resources Analysis 70

SurveySparrow

AUGUST 13, 2021

GitHub Project Management. 400 native integrations, including Google, Dropbox, Marketo, etc. ? Import project data from Trello, Github or Asana. ? As an Atlassian product, JIRA is an ideal solution for teams that are already integrated with one or more tools from their suite (Bitbucket, Confluence, Sourcetree etc.).

Tools 52

Tools Management Report Software 52

AWS Machine Learning

FEBRUARY 26, 2024

To help model integrity and model refusal ratio, we can compare the response with a set of known refusal phrases from the LLM. For more information about evaluating foundation models, refer to Use SageMaker Clarify to evaluate foundation models , and browse additional example notebooks available in our GitHub repository.

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Metrics Analytics Analysis Travel 114

AWS Machine Learning

JANUARY 17, 2023

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) partly based on JupyterLab 3. Clone the GitHub repository. First, let’s clone the GitHub repository. app.py – Where the AWS CDK stack is defined. cdk.json – Contains metadata, and feature flags. Conclusion.

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Resources Automotive Sports Software 76

AWS Machine Learning

AUGUST 21, 2023

The notebook and code from this post are available on GitHub. To run it yourself, clone the GitHub repository and open the Jupyter notebook file. 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.

Hospitality 78

Hospitality Healthcare Training Report 78

AWS Machine Learning

NOVEMBER 28, 2022

We show you how to integrate models in Amazon SageMaker Pipelines , a native workflow orchestration tool for building ML pipelines, which runs a training job and optionally a processing job with a Monte Carlo Simulation. Download the GitHub repository. As a first step, clone the GitHub repository to your local machine.

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Training Resources Call Flow Data 77

AWS Machine Learning

AUGUST 15, 2022

Amazon A2I integrates with Amazon Textract and Amazon Comprehend to provide you the ability to introduce human review steps within your IDP workflow. For the full code, refer the GitHub sample code for analyze_document(). For more information, refer to the Textract Response Parser and Textractor GitHub repos. Prerequisites.

Banking 75

Banking e-support Training Effort Score 75

AWS Machine Learning

NOVEMBER 3, 2022

Amazon A2I integrates both with Amazon Textract and Amazon Comprehend to provide the ability to introduce human review or validation within the IDP workflow. Refer to our GitHub repository for full code samples along with the document samples in the claims processing packet. For more detailed information, see our GitHub repo.

Insurance 84

Insurance Industry Analytics Data 84

AWS Machine Learning

OCTOBER 1, 2022

includes an expanded list of DNN operator support, Sigmoid/Tanh INT8 support for DLA, and better integration with TensorFlow and PyTorch. and Integrations with PyTorch and TensorFlow. AWS Panorama’s sample applications that are compatible with this version are located on GitHub. In addition, TensorRT 8.2.1 Conclusion.

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