AWS Machine Learning

AUGUST 30, 2023

In order to run inference through SageMaker API, make sure to pass the Predictor class. pre_trained_model = Model( image_uri=deploy_image_uri, model_data=pre_trained_model_uri, role=aws_role, predictor_cls=Predictor, name=pre_trained_name, env=large_model_env, ) # Deploy the pre-trained model.

Healthcare 133

Healthcare APIs Scripts Metrics 133

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 122

APIs Healthcare Scripts Enterprise 122

AWS Machine Learning

MARCH 23, 2023

Leidos is a FORTUNE 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture.

Scripts 116

Scripts APIs Government Analytics 116

AWS Machine Learning

MAY 31, 2023

Enterprise customers in tightly controlled industries such as healthcare and finance set up security guardrails to ensure their data is encrypted and traffic doesn’t traverse the internet. Additionally, each API call can have its own configurations. Then it copies the file into the default location for Studio notebooks.

APIs 103

APIs Scripts Accountability Enterprise 103

AWS Machine Learning

APRIL 10, 2023

In this post, we present a comprehensive guide on deploying and running inference using the Stable Diffusion inpainting model in two methods: through JumpStart’s user interface (UI) in Amazon SageMaker Studio , and programmatically through JumpStart APIs available in the SageMaker Python SDK.

Scripts 96

Scripts APIs Construction Finance 96

AWS Machine Learning

DECEMBER 21, 2022

A new optional parameter TableFormat can be set either interactively using Amazon SageMaker Studio or through code using the API or the SDK. The following code snippet shows you how to create a feature group using the Iceberg format and FeatureGroup.create API of the SageMaker SDK. You can find the sample script in GitHub.

Scripts 93

Scripts Engineering APIs Big data 93

AWS Machine Learning

JUNE 27, 2023

The ML components for data ingestion, preprocessing, and model training were available as disjointed Python scripts and notebooks, which required a lot of manual heavy lifting on the part of engineers. The initial solution also required the support of a technical third party, to release new models swiftly and efficiently.

Engineering 115

Engineering APIs Scripts Entertainment 115

AWS Machine Learning

NOVEMBER 1, 2022

Autopilot training jobs start their own dedicated SageMaker backend processes, and dedicated SageMaker API calls are required to start new training jobs, monitor training job statuses, and invoke trained Autopilot models. We use a Lambda step because the API call to Autopilot is lightweight. script creates an Autopilot job.

Scripts 97

Scripts APIs Metrics Engineering 97

AWS Machine Learning

AUGUST 17, 2023

Option B: Use a SageMaker Processing job with Spark In this option, we use a SageMaker Processing job with a Spark script to load the original dataset from Amazon Redshift, perform feature engineering, and ingest the data into SageMaker Feature Store. The environment preparation process may take some time to complete.

APIs 93

APIs Engineering Scripts Analytics 93

AWS Machine Learning

NOVEMBER 21, 2022

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Healthcare and life sciences. Fraud detection.

Scripts 91

Scripts Metrics APIs Healthcare 91

AWS Machine Learning

DECEMBER 5, 2023

The solution discussed in this post can easily be applied to other businesses/use-cases as well, such as healthcare, manufacturing, and research. Amazon Comprehend custom classification API is used to organize your documents into categories (classes) that you define. The following diagram outlines the proposed solution architecture.

APIs 122

APIs Enterprise Accountability Healthcare 122

AWS Machine Learning

FEBRUARY 13, 2023

With the increasing use of artificial intelligence (AI) and machine learning (ML) for a vast majority of industries (ranging from healthcare to insurance, from manufacturing to marketing), the primary focus shifts to efficiency when building and training models at scale. The steps are as follows: Open AWS Cloud9 on the console.

Scripts 93

Scripts Best practices Transportation Construction 93

AWS Machine Learning

AUGUST 9, 2024

Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. years now and has worked with customers across healthcare, sports, manufacturing and software across multiple geographic regions.

Government 128

Government Healthcare Construction Engineering 128

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 94

Automotive APIs Engineering Scripts 94

AWS Machine Learning

MARCH 14, 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, Mistral AI, Stability AI, and Amazon via a single API. This is because such tasks require organization-specific data and workflows that typically need custom programming.

Best practices 131

Best practices Engineering Chatbots Enterprise 131

AWS Machine Learning

SEPTEMBER 9, 2022

Example components of the standardized tooling include a data ingestion API, security scanning tools, the CI/CD pipeline built and maintained by another team within athenahealth, and a common serving platform built and maintained by the MLOps team. Tyler Kalbach is a Principal Member of Technical Staff at athenahealth.

Engineering 94

Engineering Healthcare APIs Scripts 94

AWS Machine Learning

JANUARY 19, 2024

Another example might be a healthcare provider who uses PLM inference endpoints for clinical document classification, named entity recognition from medical reports, medical chatbots, and patient risk stratification. Then the payload is passed to the SageMaker endpoint invoke API via the BotoClient to simulate real user requests.

Metrics 125

Metrics Scripts Benchmark Enterprise 125

AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. In Part 1, we focus on creating accurate and reliable agents.

Best practices 97

Best practices APIs Metrics Accountability 97

AWS Machine Learning

AUGUST 3, 2023

Finally, we show how you can integrate this car pose detection solution into your existing web application using services like Amazon API Gateway and AWS Amplify. For each option, we host an AWS Lambda function behind an API Gateway that is exposed to our mock application. iterdir(): if p_file.suffix == ".pth":

APIs 80

APIs Scripts Engineering Technical Support 80

AWS Machine Learning

AUGUST 3, 2023

In the current scenario, you need to dedicate resources to accomplish such tasks using human review and complex scripts. Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can find the model that best suits your requirements.

APIs 94

APIs Banking Enterprise Construction 94

AWS Machine Learning

MAY 3, 2023

With Amazon Bedrock , you will be able to choose Amazon Titan , Amazon’s own LLM, or partner LLMs such as those from AI21 Labs and Anthropic with APIs securely without the need for your data to leave the AWS ecosystem. For the best results, a GenAI app needs to engineer the prompt based on the user request and the specific LLM being used.

Enterprise 88

Enterprise Chatbots APIs Government 88

AWS Machine Learning

JULY 11, 2023

However, organizations operating in regulated industries like banking, insurance, and healthcare operate in environments that have strict data privacy and networking controls in place. To achieve this, we set up a configuration file, develop the training script, and run the training code. and model.py gamma: float = 0.7,

Scripts 73

Scripts APIs Healthcare Banking 73

AWS Machine Learning

JUNE 28, 2022

Time series forecasting is useful in multiple fields, including retail, finance, logistics, and healthcare. JumpStart features aren’t available in SageMaker notebook instances, and you can’t access them through SageMaker APIs or the AWS Command Line Interface (AWS CLI). Launch the solution.

Metrics 95

Metrics Healthcare Transportation Accountability 95

Jon Arnold

OCTOBER 28, 2019

This is especially effective in regulated markets like healthcare or financial services, where the end customers know the regulations really well, but lack the IT expertise to ensure that new technologies will properly support them. The sky is the limit here, and that’s what makes the innovation focus so promising.

voip 40

voip Healthcare APIs Scripts 40

Balto

SEPTEMBER 18, 2023

On top of that, artificial intelligence provides agents with real-time assistance during calls for faster resolutions, automates note-taking, eliminates routine post-call work, and spots compliance and script deviations. This creates a more personalized and consistent customer service experience.

Interactive Voice Response 52

Interactive Voice Response Scripts Contact Center Coaching 52

AWS Machine Learning

OCTOBER 8, 2024

Throughout this blog post, we will be talking about AutoML to indicate SageMaker Autopilot APIs, as well as Amazon SageMaker Canvas AutoML capabilities. The following diagram depicts the basic AutoMLV2 APIs, all of which are relevant to this post. The diagram shows the workflow for building and deploying models using the AutoMLV2 API.

Metrics 93

Metrics APIs Sales Accountability 93

AWS Machine Learning

DECEMBER 13, 2024

Crystal shares CWICs core functionalities but benefits from broader data sources and API access. Previously, it required a data scientist to write over 100 lines of code within an Amazon SageMaker Notebook to identify and retrieve the proper image, set the right training script, and import the right hyperparameters.

Analytics 81

Analytics Management Accountability Engineering 81

AWS Machine Learning

NOVEMBER 1, 2022

For instructions on assigning permissions to the role, refer to Amazon SageMaker API Permissions: Actions, Permissions, and Resources Reference. The Step Functions state machine, S3 bucket, Amazon API Gateway resources, and Lambda function codes are stored in the GitHub repo. The following figure illustrates our Step Function workflow.

Engineering 98

Engineering APIs Accountability industry solution 98

JustCall

FEBRUARY 28, 2024

And when you think about the range of features the latter offers at $49 per user per month — all 3 dialers, bulk SMS campaigns and workflows, live call monitoring , advanced analytics and reporting, API and webhooks, live call monitoring, and so much more, it is simply astounding. How are JustCall’s Sales Dialer and Mojo Dialer different?

Real estate 52

Real estate CRM APIs Sales 52

Balto

JANUARY 14, 2025

API Strategies: Use API integration to connect disparate systems, ensuring smooth data flow. Example: A healthcare provider reduced average handle time (AHT) by 20% using real-time insights, ensuring patients received timely and accurate information. A lack of integration limits real-time insights.

Call Center 52

Call Center Analytics Average Handle Time Big data 52

JivoChat

APRIL 23, 2023

The chatbot had built-in scripts which enabled it to answer questions about a specific subject. Healthcare Clinics and hospitals are using chatbots for many things. Or you can connect to another platform via our API. Website Navigation Chatbots are also used as a guide to help users know how to navigate through a website.

Chatbots 75

Chatbots B2C Self service B2B 75

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs.

Government 98

Government Management APIs Accountability 98

AWS Machine Learning

FEBRUARY 20, 2023

In this post, we provide an overview of how to fine-tune the Stable Diffusion model in two ways: programmatically through JumpStart APIs available in the SageMaker Python SDK , and JumpStart’s user interface (UI) in Amazon SageMaker Studio. Fine-tuning large models like Stable Diffusion usually requires you to provide training scripts.

Scripts 98

Scripts APIs Entertainment Construction 98

AWS Machine Learning

AUGUST 21, 2023

The intent is to offer an accelerated path to adoption of predictive techniques within CDSSs for many healthcare organizations. Technical background A large asset for any acute healthcare organization is its clinical notes. You also use a custom inference script to do the predictions within the container.

Healthcare 95

Healthcare APIs Scripts Finance 95

AWS Machine Learning

JANUARY 25, 2023

In this post, we provide an overview of how to deploy and run inference with the Stable Diffusion upscaler model in two ways: via JumpStart’s user interface (UI) in Amazon SageMaker Studio , and programmatically through JumpStart APIs available in the SageMaker Python SDK.

Scripts 92

Scripts APIs Real estate Entertainment 92

AWS Machine Learning

APRIL 5, 2024

Economic impact – UHIs can result in billions of dollars in additional energy costs, infrastructure damage, and healthcare expenditures. Gramener’s GeoBox solution empowers users to effortlessly tap into and analyze public geospatial data through its powerful API, enabling seamless integration into existing workflows.

APIs 130

APIs Engineering Analytics Healthcare 130

AWS Machine Learning

SEPTEMBER 1, 2023

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. Some models may be trained on diverse text datasets like internet data, coding scripts, instructions, or human feedback. 15K available FM reference Step 1.

Engineering 125

Engineering Accountability Construction APIs 125