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

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 128

APIs Scripts Enterprise Engineering 128

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

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 136

Scripts APIs Engineering Construction 136

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.

APIs 63

APIs Scripts Accountability 63

AWS Machine Learning

OCTOBER 14, 2024

In this post, we show how to create a multimodal chat assistant on Amazon Web Services (AWS) using Amazon Bedrock models, where users can submit images and questions, and text responses will be sourced from a closed set of proprietary documents. Step 3 – The Lambda function stores the query image in Amazon S3 with a specified ID.

Chatbots 124

Chatbots APIs Engineering Healthcare 124

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

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 107

Scripts Construction APIs Healthcare 107

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 138

APIs Scripts Enterprise Management 138

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 127

Engineering Scripts Metrics APIs 127

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 96

Scripts APIs Big data Engineering 96

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 118

Scripts APIs Enterprise Accountability 118

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 122

APIs Scripts Real estate Accountability 122

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 demonstrate how to set up a central model registry based on the architecture we described in the previous sections.

Government 89

Government Management APIs Accountability 89

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

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 116

Benchmark Scripts Metrics APIs 116

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 130

Scripts APIs Engineering industry standards 130

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.

APIs 120

APIs Scripts Accountability Entertainment 120

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

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

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 118

Personalization APIs Scripts Technical Support 118

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 106

Biotechnology Scripts Healthcare APIs 106

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 85

APIs Engineering Scripts Benchmark 85

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 127

APIs Engineering Accountability Big data 127

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 119

Scripts APIs Entertainment Accountability 119

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 134

APIs Healthcare Scripts Enterprise 134

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 121

APIs Scripts Entertainment Personalization 121

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 122

Scripts APIs Entertainment Engineering 122

AWS Machine Learning

NOVEMBER 15, 2024

In this post, we introduce the core dimensions of responsible AI and explore considerations and strategies on how to address these dimensions for Amazon Bedrock applications. For early detection, implement custom testing scripts that run toxicity evaluations on new data and model outputs continuously.

APIs 90

APIs Government Best practices Metrics 90

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 85

APIs Construction Scripts Engineering 85

AWS Machine Learning

OCTOBER 18, 2024

We demonstrate this solution by walking you through a comprehensive step-by-step guide on how to fine-tune YOLOv8 , a real-time object detection model, on Amazon Web Services (AWS) using a custom dataset. Call the SageMaker control plane API using the SageMaker Python SDK for model training. We’ve prepared a script called train_yolov8.py

Scripts 99

Scripts APIs Engineering Marketing 99

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 104

Scripts APIs Engineering Enterprise 104

AWS Machine Learning

JUNE 23, 2023

FastAPI is a modern, high-performance web framework for building APIs with Python. Its ease and built-in functionalities like the automatic API documentation make it a popular choice amongst ML engineers to deploy high-performance inference APIs. We discuss how to create the.tar.gz file later in this post.

APIs 99

APIs Scripts Engineering Accountability 99

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.

Scripts 85

Scripts APIs Best practices Engineering 85

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 82

APIs Government Accountability Scripts 82

AWS Machine Learning

SEPTEMBER 26, 2024

This text-to-video API generates high-quality, realistic videos quickly from text and images. We will discuss the advantages and pain points addressed by SageMaker HyperPod, provide a step-by-step setup guide, and demonstrate how to run a video generation algorithm on the cluster.

Scripts 118

Scripts APIs Metrics Management 118

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.

Scripts 124

Scripts Accountability APIs Engineering 124