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

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.

APIs 90

APIs Government Accountability Scripts 90

AWS Machine Learning

AUGUST 26, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform semantic segmentation with JumpStart, both via the Studio UI and via JumpStart APIs. Solution overview.

APIs 96

APIs Scripts Enterprise Big data 96

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.

APIs 96

APIs Scripts Metrics 96

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

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. JumpStart overview. The dataset has been downloaded from TensorFlow. Walkthrough overview.

Scripts 86

Scripts APIs Enterprise Accountability 86

AWS Machine Learning

FEBRUARY 6, 2023

The JumpStart APIs allow you to programmatically deploy and fine-tune a vast selection of pre-trained models on your own datasets. These features remove the heavy lifting from each step of the ML process, making it easier to develop high-quality models and reducing time to deployment.

APIs 91

APIs Scripts Metrics Benchmark 91

AWS Machine Learning

MAY 19, 2023

At the 2022 AWS re:Invent conference in Las Vegas, we demonstrated “Describe for Me” at the AWS Builders’ Fair, a website which helps the visually impaired understand images through image caption, facial recognition, and text-to-speech, a technology we refer to as “Image to Speech.” Accessibility has come a long way, but what about images?

APIs 101

APIs Scripts Best practices Engineering 101

AWS Machine Learning

MAY 16, 2023

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. nYou can access Amazon Comprehend document analysis capabilities using the Amazon Comprehend console or using the Amazon Comprehend APIs.

Chatbots 98

Chatbots Scripts APIs Feedback 98

AWS Machine Learning

NOVEMBER 17, 2022

In this post, we provide an overview of how to deploy and run inference with the AlexaTM 20B model programmatically through JumpStart APIs, available in the SageMaker Python SDK. To use a large language model in SageMaker, you need an inferencing script specific for the model, which includes steps like model loading, parallelization and more.

Scripts 101

Scripts APIs Government Engineering 101

AWS Machine Learning

AUGUST 11, 2023

The JumpStart APIs allow you to programmatically deploy and fine-tune a vast selection of pre-trained models on your own datasets. deploy_source_uri – Use the script_uris utility API to retrieve the S3 URI that contains scripts to run pre-trained model inference. We specify the script_scope as inference.

Scripts 94

Scripts Finance Construction APIs 94

AWS Machine Learning

JULY 15, 2024

We use the custom terminology dictionary to compile frequently used terms within video transcription scripts. She holds 30+ patents and has co-authored 100+ journal/conference papers. MagellanTV , a leading streaming platform for documentaries, wants to broaden its global presence through content internationalization.

Engineering 121

Engineering Entertainment Big data APIs 121

AWS Machine Learning

MARCH 13, 2024

. * The `if __name__ == "__main__"` block checks if the script is being run directly or imported. To run the script, you can use the following command: ``` python hello.py ``` * The output will be printed in the console: ``` Hello, world! ) # For the other hyperparameters, see the GitHub notebook attached in this blog.

Benchmark 132

Benchmark Scripts APIs Feedback 132

AWS Machine Learning

NOVEMBER 21, 2022

This notebook demonstrates how to use the JumpStart API for text classification. To run inference on this model, we first need to download the inference container ( deploy_image_uri ), inference script ( deploy_source_uri ), and pre-trained model ( base_model_uri ). Text classification.

Scripts 91

Scripts Metrics APIs Healthcare 91

AWS Machine Learning

MAY 22, 2023

Note that you need to pass the Predictor class when deploying model through the Model class to be able to run inference through the SageMaker API. You can access Amazon Comprehend document analysis capabilities using the Amazon Comprehend console or using the Amazon Comprehend APIs.

APIs 110

APIs Scripts Metrics Accountability 110

AWS Machine Learning

SEPTEMBER 20, 2022

Even if you already have a pre-trained model, it may still be easier to use its corollary in SageMaker and input the hyperparameters you already know rather than port it over and write a training script yourself. The training and inference scripts for the selected model or algorithm.

Scripts 89

Scripts Metrics Telecommunications APIs 89

AWS Machine Learning

JANUARY 30, 2024

script with llava_inference.py , and create a model.tar.gz script has additional code to allow reading an image file from Amazon S3 and running inference on it. Tip You can use OpenSearch Dashboards to interact with the OpenSearch API to run quick tests on your index and ingested data. file for this model. The model.tar.gz

Scripts 126

Scripts Enterprise Analytics APIs 126

AWS Machine Learning

OCTOBER 19, 2022

To demonstrate how you can use this solution in your existing business infrastructures, we also include an example of making REST API calls to the deployed model endpoint, using AWS Lambda to trigger both the RCF and XGBoost models. He has published many papers in ACL, ICDM, KDD conferences, and Royal Statistical Society: Series A journal.

APIs 86

APIs Metrics Calibration Accountability 86

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

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

NOVEMBER 16, 2023

script that matches the model’s expected input and output. The important thing is to review available VQA models, at the time you read this, and be prepared to deploy the model you choose, which will have its own API request and response contract. As you read this, the mix of available VQA models may change. References Ahmed, E.

Real estate 110

Real estate APIs Scripts Accountability 110

AWS Machine Learning

APRIL 3, 2023

You can access Amazon Comprehend document analysis capabilities using the Amazon Comprehend console or using the Amazon Comprehend APIs. The model URI, which contains the inference script, and the URI of the Docker container are obtained through the SageMaker SDK. Provide a predictor_cls to use the SageMaker API for inference.

Engineering 97

Engineering APIs Construction Finance 97

AWS Machine Learning

OCTOBER 10, 2023

As a SageMaker JumpStart model hub customer, you can use ASR without having to maintain the model script outside of the SageMaker SDK. In this post, we demonstrate how to deploy the Whisper API using the SageMaker Studio console or a SageMaker Notebook and then use the deployed model for speech recognition and language translation.

APIs 118

APIs Scripts Metrics Accountability 118

AWS Machine Learning

APRIL 18, 2023

We make this possible in a few API calls in the JumpStart Industry SDK. Using the SageMaker API, we downloaded annual reports ( 10-K filings ; see How to Read a 10-K for more information) for a large number of companies. We select Amazon’s SEC filing reports for years 2021–2022 as the training data to fine-tune the GPT-J 6B model.

Finance 86

Finance Scripts APIs Sales 86

AWS Machine Learning

AUGUST 14, 2023

Answer: 2021 ### Context: NLP Cloud developed their API by mid-2020 and they added many pre-trained open-source models since then. Answer: API ### Context: All plans can be stopped anytime. The model URI, which contains the inference script, and the URI of the Docker container are obtained through the SageMaker SDK.

Engineering 91

Engineering APIs Chatbots Scripts 91

AWS Machine Learning

AUGUST 14, 2023

You can serialize pipelines to YAML files , expose them via a REST API , and scale them flexibly with your workloads, making it easy to move your application from a prototype stage to production. script to preprocess and index the provided demo data. script to fit your needs if you chose to use your own data.

Enterprise 89

Enterprise Scripts Best practices Analytics 89

Jon Arnold

OCTOBER 28, 2019

In some cases, the focus is on automation, where emerging AI-driven applications can take on manual tasks, such as scheduling meetings, or transcribing conference calls. Another example would be using APIs to customize applications quickly and easily, such as IVR scripts or time-sensitive notifications.

voip 40

voip Healthcare APIs Scripts 40

JustCall

FEBRUARY 13, 2023

Global conferencing – Global dial-in so teams from any location can be added to conference calls. month for up to 40k emails WhatsApp Business API – Starting at $0.0042 per WhatsApp Template message and $0.005 for session messages SMS, WhatsApp, Chat, and MMS – Starting at $0.05 5 Capterra– 4.6/5 5 TrustRadius– 8.5/10

Interactive Voice Response 52

Interactive Voice Response voip Enterprise call center software 52

Hodusoft

FEBRUARY 14, 2020

Users have expressed satisfaction with Genesys product performance and services that help them to integrate the system into their infrastructure with API, activity dashboard and CRM integration. It does offer open API to help users customize systems. The company offers phone and online support.

call center software 52

call center software Call Center Contact center software voip 52

AWS Machine Learning

DECEMBER 13, 2024

By September of the same year, Clearwater unveiled its generative AI customer offerings at the Clearwater Connect User Conference, marking a significant milestone in their AI-driven transformation. Crystal shares CWICs core functionalities but benefits from broader data sources and API access.

Analytics 81

Analytics Management Accountability Engineering 81

Hodusoft

NOVEMBER 29, 2022

Exceptionally fast integration. Excellent uptime. Cons : Some reports of technical issues. Unavailability of pricing plans.

Contact center software 40

Contact center software Contact Center Interactive Voice Response contact center solutions 40

AWS Machine Learning

APRIL 18, 2023

We make this possible in a few API calls in the JumpStart Industry SDK. Using the SageMaker API, we downloaded annual reports ( 10-K filings ; see How to Read a 10-K for more information) for a large number of companies. We select Amazon’s SEC filing reports for years 2021–2022 as the training data to fine-tune the GPT-J 6B model.

Finance 52

Finance Scripts APIs Sales 52

JustCall

APRIL 5, 2023

Using Google Chat, your team can easily collaborate via text, build collaborative chat rooms, conduct web conferences, share documents, and deliver presentations. Web Conferencing: Improve online meetings with high-quality audio and video web conferencing, extensive screen sharing capabilities, and advanced conference call setting.

voip 52

voip Enterprise Interactive Voice Response CRM 52

JustCall

MARCH 9, 2023

Call Recording and Analytics Software Call recordings are analyzed for important moments that indicate whether reps are following or deviating from their call plan/script. Dialogue Scripting for a Seamless User Experience and Empathy Good conversations require so much more than just a simple response.

Coaching 52

Coaching Sales Chatbots Analytics 52

NobelBiz

APRIL 21, 2022

Call Control: CTI technology allows you to initiate another call while on the current one, conference it, or transfer it. CTI server: A communication system that includes a CTI API. Of course, the call control can be completed with a review of the computer data associated with the calls.

Contact Center 52

Contact Center Interactive Voice Response CRM Call Center 52

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

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