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 77

APIs Scripts Metrics Surveys 77

AWS Machine Learning

JULY 2, 2024

Amazon Bedrock is a fully managed service that makes a wide range of foundation models (FMs) available though an API without having to manage any infrastructure. Amazon API Gateway and AWS Lambda to create an API with an authentication layer and integrate with Amazon Bedrock. An API created with Amazon API Gateway.

APIs 129

APIs Scripts Enterprise Engineering 129

AWS Machine Learning

OCTOBER 14, 2024

For example, retailers can use this system to more effectively sell their products (for example, HDMI_adaptor.jpeg, “How can I connect this adapter to my smart TV?”). Equipment manufacturers can build applications that allow them to work more effectively (for example, broken_machinery.png, “What type of piping do I need to fix this?”).

Chatbots 126

Chatbots APIs Engineering Healthcare 126

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 82

APIs Accountability Scripts Enterprise 82

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 139

APIs Scripts Finance Real estate 139

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 97

Scripts APIs Big data Engineering 97

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 129

Engineering Scripts Metrics APIs 129

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. The code and resources required for deployment are available in the amazon-bedrock-examples repository.

APIs 138

APIs Scripts Enterprise Management 138

AWS Machine Learning

OCTOBER 24, 2024

Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline. Here’s a high-level breakdown of how the Python script is executed: Load the YOLOv9 model – This model is used for detecting objects in each frame. cvtColor(frame, cv2.COLOR_RGB2BGR)

Scripts 96

Scripts APIs Analytics Personalization 96

Zingtree

MAY 3, 2018

If you’re a Zendesk user in a Contact Center environment, you’ll want to be using our Zendesk Agent Scripting app. Pause and Resume: If a ticket is transferred, the supervisor or new agent is taken to the last place in the script, and can see the history of the previous steps taken. New Features in Version 11.

Scripts 67

Scripts APIs Feedback Contact Center 67

AWS Machine Learning

JULY 11, 2024

This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams.

Scripts 131

Scripts APIs Engineering industry standards 131

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 124

Scripts APIs Engineering Finance 124

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. SageMaker runs the legacy script inside a processing container. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language.

Scripts 137

Scripts APIs Engineering Construction 137

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 124

APIs Scripts Real estate Accountability 124

Zingtree

MAY 24, 2018

If you’re a Zendesk user in a Contact Center environment, you’ll want to be using our Zendesk Agent Scripting app. Benefits of the Zendesk Agent Scripting App. Installing the Agent Scripting App into Zendesk. Installing the Agent Scripting App into Zendesk. Enabling Automatic Script Selection.

Scripts 61

Scripts APIs Real estate Feedback 61

AWS Machine Learning

OCTOBER 15, 2024

In this post, we show how the SageMaker Core SDK simplifies the developer experience while providing API for seamlessly executing various steps in a general ML lifecycle. For instance, to create a training job, Boto3 offers a create_training_job API, but retrieving job details requires the describe_training_job API.

APIs 87

APIs Construction Engineering Scripts 87

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. With this launch, customers can now seamlessly share and access ML models registered in SageMaker Model Registry between different AWS accounts.

Government 95

Government Management APIs Accountability 95

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 108

Scripts Construction APIs Healthcare 108

AWS Machine Learning

OCTOBER 18, 2024

Call the SageMaker control plane API using the SageMaker Python SDK for model training. Let’s walk through this scenario with an implementation example. Prerequisites For this walkthrough, you should have the following: Jupyter Notebook – The example has been tested in Visual Studio Code with Jupyter Notebook using the Python 3.11.7

Scripts 100

Scripts APIs Engineering Marketing 100

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 120

Personalization APIs Scripts Technical Support 120

AWS Machine Learning

SEPTEMBER 8, 2023

Amazon Rekognition makes it easy to add image analysis capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 122

APIs Scripts Entertainment Personalization 122

AWS Machine Learning

NOVEMBER 15, 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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 101

APIs Government Best practices Metrics 101

NobelBiz

MAY 11, 2021

Writing a call script is a must for contact centers that want to excel in their prospecting effort. If you write it according to the rules of the game, the script is an observable, cost-effective, and efficient method of attracting and maintaining prospects and clients. What exactly is call scripting? Why do scripts exist?

Scripts 52

Scripts Contact Center Calibration CRM 52

AWS Machine Learning

MAY 31, 2024

This genomic data could be either public (for example, GenBank) or could be your own proprietary data. Lastly the model is tested against a set of known genome sequences using some inference API calls. Training on SageMaker We use PyTorch and Amazon SageMaker script mode to train this model.

Biotechnology 108

Biotechnology Scripts Healthcare APIs 108

AWS Machine Learning

JULY 17, 2024

In this post, we’re using the APIs for AWS Support , AWS Trusted Advisor , and AWS Health to programmatically access the support datasets and use the Amazon Q Business native Amazon Simple Storage Service (Amazon S3) connector to index support data and provide a prebuilt chatbot web experience. Synchronize the data source to index the data.

Scripts 119

Scripts APIs Enterprise Accountability 119

AWS Machine Learning

NOVEMBER 22, 2024

Implementation details We spin up the cluster by calling the SageMaker control plane through APIs or the AWS Command Line Interface (AWS CLI) or using the SageMaker AWS SDK. In our example, we use one ml.p4d.24xlarge Optional) Create a Weights & Biases API key to access the Weights & Biases dashboard for logging and monitoring.

Scripts 57

Scripts APIs Construction Engineering 57

AWS Machine Learning

JULY 24, 2023

If the model changes on the server side, the client has to know and change its API call to the new endpoint accordingly. For example, NEURON_RT_NUM_CORES=2 myapp.py For this example, we’re going with us-east-2 as the region and json as the default output. As an example, we will choose Inf2 as the guide.

Scripts 85

Scripts APIs Engineering Best practices 85

AWS Machine Learning

NOVEMBER 30, 2023

In this example, you take a sentence that describes Werner Vogels wearing white scarfs while travelling around India. 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.

Scripts 120

Scripts APIs Entertainment Accountability 120

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. Code examples are provided in Python, and JavaScript (Node.js) is also available in this GitHub repository. For Python scripts, you can use the AWS SDK for Python (Boto3). exclusive) to 10.0

Scripts 123

Scripts APIs Entertainment Engineering 123

Nexmo

AUGUST 14, 2019

And thus I thought it’d be fun to design and build something with Nexmo’s Voice and SMS APIs to do just that. Here’s an example of one of my clues: [link]. Replace the API Key, API Secret, App ID, and your Nexmo Number. Otherwise, in just a few steps you can create your own clues and app from scratch!

APIs 63

APIs Scripts Accountability 63

AWS Machine Learning

OCTOBER 24, 2024

These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and APIs. Examples given later in the post.) Create and associate an action group with an API schema and a Lambda function.

APIs 95

APIs Best practices Construction Engineering 95

AWS Machine Learning

NOVEMBER 19, 2024

For example, if a user simply describes “engine running rough” without providing the specific DTC, a general LLM might suggest a wide range of potential issues, some of which may be irrelevant to the actual problem, or fail to provide any meaningful diagnosis due to insufficient context. For this post, we use Meta Llama3.1

Automotive 96

Automotive Scripts APIs Engineering 96

AWS Machine Learning

MAY 23, 2024

The SMP library uses NVIDIA Megatron to implement expert parallelism and support training MoE models, and runs on top of PyTorch Fully Sharded Data Parallel (FSDP) APIs. For example, to shard your model while using an instance with 8 GPUs, you can set the expert_parallel_degree to 2, 4, or 8.

APIs 131

APIs Engineering Scripts Construction 131

AWS Machine Learning

JULY 2, 2024

Image 2: Hugging Face NLP model inference performance improvement with torch.compile on AWS Graviton3-based c7g instance using Hugging Face example scripts. This section shows how to run inference in eager and torch.compile modes using torch Python wheels and benchmarking scripts from Hugging Face and TorchBench repos.

Benchmark 118

Benchmark Scripts Metrics APIs 118

AWS Machine Learning

NOVEMBER 14, 2024

A tag value (for example, Production ) is also case sensitive, like the keys. For example, tagging resources with their environment allows automating tasks like stopping non-production instances after hours. For example, tags like environment or owner help identify technical attributes. Tag keys and values are case sensitive.

Government 105

Government Best practices Accountability APIs 105

AWS Machine Learning

JULY 25, 2024

Any additional mappings need to be set in the user store using the user store APIs. Overview of solution This post presents the steps to create a certificate and private key, configure Azure AD (either using the Azure AD console or a PowerShell script), and configure Amazon Q Business. Using the provided PowerShell script.

Scripts 106

Scripts APIs Engineering Enterprise 106

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 101

APIs Scripts Accountability Enterprise 101