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.

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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.

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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

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Scripts APIs Big data Engineering 101

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.

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Scripts APIs Feedback Contact Center 67

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. This tutorial will cover how to create QR Codes to hide throughout your neighborhood and how to create an app with Express and Node.js Replace the API Key, API Secret, App ID, and your Nexmo Number.

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AWS Machine Learning

JANUARY 24, 2025

In this post, we show you an example of a generative AI assistant application and demonstrate how to assess its security posture using the OWASP Top 10 for Large Language Model Applications , as well as how to apply mitigations for common threats. These steps might involve both the use of an LLM and external data sources and APIs.

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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.

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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.

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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.

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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.

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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 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.

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APIs Healthcare Scripts Enterprise 135

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.

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Scripts APIs Real estate Feedback 61

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.

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APIs Scripts Real estate Accountability 124

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.

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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).

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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%.

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Scripts APIs Engineering Finance 119

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 119

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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.

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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].

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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 115

Biotechnology Scripts Healthcare APIs 115

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.

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AWS Machine Learning

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. The summary is stored inside an S3 bucket, which can be emptied using the extension’s Clean Up feature.

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APIs Scripts Accountability Entertainment 130

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.

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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 105

APIs Engineering Accountability Big data 105

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?

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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")

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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).

APIs 97

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AWS Machine Learning

SEPTEMBER 11, 2023

You must also associate a security group for your VPC with these endpoints to allow all inbound traffic from port 443: SageMaker API: com.amazonaws.region.sagemaker.api. This is required to communicate with the SageMaker API. Solution walkthrough In this blog post, we demonstrate how to deploy the Terraform solution.

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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.

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AWS Machine Learning

JULY 11, 2024

This post demonstrates how to use Amazon SageMaker to fine tune a Sentence Transformer embedding model and deploy it with an Amazon SageMaker Endpoint. The following code snippet demonstrates how to load a training dataset from a JSON file, prepares the data for training, and then fine tunes the pre-trained model.

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AWS Machine Learning

APRIL 23, 2024

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

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APIs Enterprise Scripts Accountability 125

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. The following figure shows the architecture of how to set up the solution on an EC2 Inf2 instance. Neuron Runtime determines which NeuronCore will run which model and how to run it. code as the entry point.

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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 107

APIs Scripts Accountability Enterprise 107

AWS Machine Learning

MARCH 23, 2023

In this post, we show how to activate privacy-preserving ML predictions for the most highly regulated environments. Although this example shows how to perform this for inference operations, you can extend the solution to training and other ML steps. It’s also important to phrase all computations as linear equations. resource("s3").Bucket

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AWS Machine Learning

NOVEMBER 14, 2022

We provide a step-by-step guide to deploy your SageMaker trained model to Graviton-based instances, cover best practices when working with Graviton, discuss the price-performance benefits, and demo how to deploy a TensorFlow model on a SageMaker Graviton instance. The inference script is stored in Amazon Simple Storage Service (Amazon S3).

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AWS Machine Learning

DECEMBER 29, 2022

Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. In this blog post, we will show you how to use both of these services together to efficiently perform analysis on massive data sets in the cloud while addressing the challenges mentioned above. Solution overview.

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