TeleDirect

APRIL 25, 2025

How to Choose the Right Call Center for Your Healthcare Practice As the healthcare industry evolves to meet the demands of modern patients, outsourcing customer communication to a healthcare call center has become a practical and strategic move. Q4: How quickly can a call center be onboarded? A signed BAA is standard.

Healthcare 62

Healthcare Call Center Abandon rate outsourcing 62

AWS Machine Learning

FEBRUARY 1, 2023

Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. Some customers have asked if they could use this approach to moderate videos by sampling image frames and sending them to the Amazon Rekognition image moderation API.

APIs 95

APIs Scripts Metrics Surveys 95

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 130

Scripts Best practices Engineering Accountability 130

AWS Machine Learning

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 106

APIs Chatbots Construction Engineering 106

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. SageMaker runs the legacy script inside a processing container.

Scripts 144

Scripts APIs Engineering Construction 144

AWS Machine Learning

APRIL 11, 2023

In the post Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication , we demonstrated how to build a private API to generate Amazon SageMaker Studio presigned URLs that are only accessible by an authenticated end-user within the corporate network from a single account.

APIs 97

APIs Accountability Scripts Enterprise 97

AWS Machine Learning

JULY 2, 2024

In this post, we provide an operational overview of the solution, and then describe how to set it up with the following services: Amazon Bedrock and a knowledge base to generate responses from user questions based on enterprise data sources. The request is sent by the web application to the API. An API created with Amazon API Gateway.

APIs 142

APIs Scripts Enterprise Engineering 142

AWS Machine Learning

FEBRUARY 25, 2025

This post shows how to configure an Amazon Q Business custom connector and derive insights by creating a generative AI-powered conversation experience on AWS using Amazon Q Business while using access control lists (ACLs) to restrict access to documents based on user permissions. secrets_manager_client = boto3.client('secretsmanager')

Enterprise 105

Enterprise Engineering APIs Accountability 105

AWS Machine Learning

FEBRUARY 12, 2025

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. In this post, we explore how to use Amazon Bedrock to generate synthetic training data to fine-tune an LLM.

APIs 77

APIs Management Benchmark Scripts 77

AWS Machine Learning

JANUARY 8, 2024

The first allows you to run a Python script from any server or instance including a Jupyter notebook; this is the quickest way to get started. In the following sections, we first describe the script solution, followed by the AWS CDK construct solution. The following diagram illustrates the sequence of events within the script.

Scripts 124

Scripts Construction APIs Healthcare 124

AWS Machine Learning

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. System integration – Agents make API calls to integrated company systems to run specific actions.

APIs 141

APIs Scripts Enterprise Management 141

AWS Machine Learning

JULY 29, 2022

The SageMaker Python SDK provides open-source APIs and containers to train and deploy models on SageMaker, using several different ML and deep learning frameworks. In this post, we walk you through an example of how to build and deploy a custom Hugging Face text summarizer on SageMaker. return tokenized_dataset. If we use an ml.g4dn.16xlarge

Scripts 101

Scripts APIs Big data Engineering 101

AWS Machine Learning

JULY 29, 2024

You can also either use the SageMaker Canvas UI, which provides a visual interface for building and deploying models without needing to write any code or have any ML expertise, or use its automated machine learning (AutoML) APIs for programmatic interactions. Python script – Use a Python script to merge the datasets.

APIs 119

APIs Scripts Benchmark Metrics 119

AWS Machine Learning

AUGUST 2, 2024

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

Engineering 133

Engineering Scripts Metrics Advertising 133

AWS Machine Learning

JULY 11, 2024

This solution shows how Amazon Bedrock agents can be configured to accept cloud architecture diagrams, automatically analyze them, and generate Terraform or AWS CloudFormation templates. This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards.

Scripts 139

Scripts APIs Engineering industry standards 139

AWS Machine Learning

JULY 17, 2024

This post shows how to use AWS generative artificial intelligence (AI) services , like Amazon Q Business , with AWS Support cases, AWS Trusted Advisor , and AWS Health data to derive actionable insights based on common patterns, issues, and resolutions while using the AWS recommendations and best practices enabled by support data.

Scripts 127

Scripts APIs Enterprise Accountability 127

AWS Machine Learning

OCTOBER 24, 2024

In this first post, we focus on the basics of RAG architecture and how to optimize text-only RAG. The second post outlines how to work with multiple data formats such as structured data (tables, databases) and images. In part 2 of this post, we will discuss how to extend this capability to images and structured data.

Chatbots 94

Chatbots Metrics Scripts APIs 94

AWS Machine Learning

AUGUST 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. The scripts for fine-tuning and evaluation are available on the GitHub repository.

APIs 127

APIs Scripts Real estate Accountability 127

AWS Machine Learning

MAY 16, 2024

The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway. Real-time recommendation inference The inference phase consists of the following steps: The client application makes an inference request to the API gateway.

Personalization 127

Personalization APIs Scripts Technical Support 127

AWS Machine Learning

DECEMBER 22, 2023

In particular, we cover the SMP library’s new simplified user experience that builds on open source PyTorch Fully Sharded Data Parallel (FSDP) APIs, expanded tensor parallel functionality that enables training models with hundreds of billions of parameters, and performance optimizations that reduce model training time and cost by up to 20%.

Scripts 122

Scripts APIs Engineering Finance 122

AWS Machine Learning

MARCH 27, 2025

We dive deep into this process on how to use XML tags to structure the prompt and guide Amazon Bedrock in generating a balanced label dataset with high accuracy. In the following sections, we explain how to take an incremental and measured approach to improve Anthropics Claude 3.5 Sonnet prediction accuracy through prompt engineering.

Education 112

Education Engineering APIs Enterprise 112

AWS Machine Learning

FEBRUARY 5, 2025

Lets delve into a basic Colang script to see how it works: define user express greeting "hello" "hi" "what's up?" define bot ask how are you "How are you doing?" model API exposed by SageMaker JumpStart properly. define bot express greeting "Hey there!" The Llama 3.1

Chatbots 112

Chatbots Construction Best practices Government 112

AWS Machine Learning

JULY 2, 2024

In this blog post, we show how we optimized torch.compile performance on AWS Graviton3-based EC2 instances, how to use the optimizations to improve inference performance, and the resulting speedups. We benchmarked 45 models using the scripts from the TorchBench repo. Starting with PyTorch 2.3.1, Starting with PyTorch 2.3.1,

Benchmark 122

Benchmark Scripts Metrics APIs 122

AWS Machine Learning

SEPTEMBER 8, 2023

In this post, we demonstrate how to use Amazon Rekognition , Amazon SageMaker JumpStart , and Amazon OpenSearch Service to solve this business problem. These models have been packaged to be securely and easily deployable via Amazon SageMaker APIs. MatchConfidence – A match confidence score that can be used to control API behavior.

APIs 126

APIs Scripts Entertainment Personalization 126

AWS Machine Learning

MAY 31, 2024

Lastly the model is tested against a set of known genome sequences using some inference API calls. In the sample Jupyter notebook we show how to download FASTA files from GenBank, convert them into FASTQ files, and then load them into a HealthOmics sequence store. Then we deploy that model as a SageMaker real-time inference endpoint.

Biotechnology 117

Biotechnology Scripts Healthcare APIs 117

AWS Machine Learning

NOVEMBER 30, 2023

The function then searches the OpenSearch Service image index for images matching the celebrity name and the k-nearest neighbors for the vector using cosine similarity using Exact k-NN with scoring script. Go to the CloudFormation console, choose the stack that you deployed through the deploy script mentioned previously, and delete the stack.

Scripts 126

Scripts APIs Entertainment Accountability 126

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 98

APIs Engineering Scripts Benchmark 98

AWS Machine Learning

FEBRUARY 29, 2024

In this post, we demonstrate how to build a RAG workflow using Knowledge Bases for Amazon Bedrock for a drug discovery use case. You can also use the StartIngestionJob API to trigger the sync via the AWS SDK. We use the Knowledge Bases for Amazon Bedrock retrieve_and_generate and retrieve APIs with Amazon Bedrock LangChain integration.

APIs 137

APIs Healthcare Scripts Enterprise 137

TechSee

APRIL 22, 2024

In this post, we explore how to remove barriers to adoption, significantly amplifying the effectiveness of your CX strategies. Furthermore, TechSee’s technology can be integrated anywhere through APIs or SDKs. However, the true potential of investing in CX innovation often remains untapped due to barriers that hinder adoption.

APIs 109

APIs Scripts Best practices Technology 109

TechSee

APRIL 22, 2024

In this post, we explore how to remove barriers to adoption, significantly amplifying the effectiveness of your CX strategies. Furthermore, TechSee’s technology can be integrated anywhere through APIs or SDKs. However, the true potential of investing in CX innovation often remains untapped due to barriers that hinder adoption.

APIs 109

APIs Scripts Best practices Technology 109

AWS Machine Learning

FEBRUARY 19, 2024

An asynchronous API and Amazon OpenSearch Service connector make it easy to integrate the model into your neural search applications. In this post, we walk through how to use the Titan Image Generator and Titan Multimodal Embeddings models via the AWS Python SDK. For Python scripts, you can use the AWS SDK for Python (Boto3).

Scripts 133

Scripts APIs Entertainment Engineering 133

AWS Machine Learning

MARCH 19, 2024

However, complex NLQs, such as time series data processing, multi-level aggregation, and pivot or joint table operations, may yield inconsistent Python script accuracy with a zero-shot prompt. The user can use the Amazon Recognition DetectText API to extract text data from these images. setup.sh. (a a challenge-level question).

Construction 137

Construction Scripts APIs Enterprise 137

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 119

Scripts APIs Engineering Enterprise 119

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

JUNE 19, 2024

In this post, we show you how to unlock new levels of efficiency and creativity by bringing the power of generative AI directly into your Slack workspace using Amazon Bedrock. We show how to create a Slack application, configure the necessary permissions, and deploy the required resources using AWS CloudFormation.

APIs 107

APIs Engineering Accountability Big data 107

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 106

Scripts APIs Engineering Transportation 106

AWS Machine Learning

FEBRUARY 19, 2024

Inference API – The server exposes an API that allows client applications to send input data and receive predictions from the deployed models. Different request handlers will provide support for the Inference API , Management API , or other APIs available from various plugins.

APIs 129

APIs Engineering Scripts Metrics 129