AWS Machine Learning

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

Analytics 125

Analytics APIs Engineering Construction 125

AWS Machine Learning

FEBRUARY 25, 2025

This post shows how to configure an Amazon Q Business custom connector and derive insights by creating a generative AI-powered conversation experience on AWS using Amazon Q Business while using access control lists (ACLs) to restrict access to documents based on user permissions. Who are the data stewards for my proprietary database sources?

Enterprise 92

Enterprise Engineering APIs Accountability 92

AWS Machine Learning

JULY 2, 2024

Prerequisites To follow along and set up this solution, you must have the following: An AWS account A device with access to your AWS account with the following: Python 3.12 During the creation of the knowledge base, a vector store will also be created to ingest documents encoded as vectors, using an embeddings model.

APIs 136

APIs Scripts Enterprise Engineering 136

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. Extract and analyze data from documents.

Scripts 91

Scripts Metrics APIs Healthcare 91

AWS Machine Learning

NOVEMBER 16, 2022

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

Accountability 97

Accountability Best practices Scripts Engineering 97

Callminer

JANUARY 18, 2021

Encourage agents to cheer up callers with more flexible scripting. “A 2014 survey suggested that 69% of customers feel that their call center experience improves when the customer service agent doesn’t sound as though they are reading from a script. Minimise language barriers with better hires.

Best practices 226

Best practices Call Center Contact Center Scripts 226

AWS Machine Learning

FEBRUARY 12, 2025

Your task is to understand a system that takes in a list of documents, and based on that, answers a question by providing citations for the documents that it referred the answer from. Our dataset includes Q&A pairs with reference documents regarding AWS services. The following table shows an example.

APIs 74

APIs Management Benchmark Scripts 74

AWS Machine Learning

AUGUST 5, 2024

Prerequisites To implement the solution provided in this post, you should have the following: An active AWS account and familiarity with FMs, Amazon Bedrock, and OpenSearch Serverless. An S3 bucket where your documents are stored in a supported format (.txt,md,html,doc/docx,csv,xls/.xlsx,pdf). txt,md,html,doc/docx,csv,xls/.xlsx,pdf).

Scripts 124

Scripts Accountability Education Feedback 124

AWS Machine Learning

NOVEMBER 15, 2024

For early detection, implement custom testing scripts that run toxicity evaluations on new data and model outputs continuously. Integrating scheduled toxicity assessments and custom testing scripts into your development pipeline helps you continuously monitor and adjust model behavior.

APIs 109

APIs Government Best practices Metrics 109

AWS Machine Learning

DECEMBER 22, 2023

The agent can assist users with finding their account information, completing a loan application, or answering natural language questions while also citing sources for the provided answers. This memory allows the agent to provide responses that take into account the context of the ongoing conversation.

Scripts 124

Scripts Chatbots Accountability Multi-channel support 124

AWS Machine Learning

JULY 25, 2024

Accelerate research and analysis – Instead of manually searching through SharePoint documents, users can use Amazon Q to quickly find relevant information, summaries, and insights to support their research and decision-making. The site content space also provides access to add lists, pages, document libraries, and more.

Scripts 107

Scripts APIs Engineering Enterprise 107

AWS Machine Learning

APRIL 26, 2024

Also make sure you have the account-level service limit for using ml.p4d.24xlarge The documents provided show that the development of these systems had a profound effect on the way people and goods were able to move around the world. You can change these configurations by specifying non-default values in JumpStartModel.

Transportation 127

Transportation Scripts Accountability Benchmark 127

AWS Machine Learning

FEBRUARY 8, 2024

Your Amazon Bedrock-powered insurance agent can assist human agents by creating new claims, sending pending document reminders for open claims, gathering claims evidence, and searching for information across existing claims and customer knowledge repositories. Send a pending documents reminder to the policy holder of claim 2s34w-8x.

APIs 140

APIs Scripts Enterprise Management 140

AWS Machine Learning

JUNE 4, 2024

The workflow includes the following steps: The user runs the terraform apply The Terraform local-exec provisioner is used to run a Python script that downloads the public dataset DialogSum from the Hugging Face Hub. Prerequisites This solution requires the following prerequisites: An AWS account.

Scripts 130

Scripts Accountability Engineering Best practices 130

AWS Machine Learning

FEBRUARY 12, 2025

Prerequisites To build the solution yourself, there are the following prerequisites: You need an AWS account with an AWS Identity and Access Management (IAM) role that has permissions to manage resources created as part of the solution (for example AmazonSageMakerFullAccess and AmazonS3FullAccess ).

Scripts 76

Scripts Metrics Engineering Accountability 76

AWS Machine Learning

JULY 17, 2024

QSI enables insights on your AWS Support datasets across your AWS accounts. First, as illustrated in the Linked Accounts group in Figure 1, this solution supports datasets from linked accounts and aggregates your data using the various APIs, AWS Lambda , and Amazon EventBridge. Synchronize the data source to index the data.

Scripts 121

Scripts APIs Enterprise Accountability 121

AWS Machine Learning

FEBRUARY 14, 2024

Prerequisites For this walkthrough, you should have the following prerequisites: Familiarity with SageMaker Ground Truth labeling jobs and the workforce portal Familiarity with the AWS Cloud Development Kit (AWS CDK) An AWS account with the permissions to deploy the AWS CDK stack A SageMaker Ground Truth private workforce Python 3.9+

Scripts 128

Scripts Engineering Entertainment Healthcare 128

ShepHyken

APRIL 21, 2023

No matter how many Google accounts you sign up for, the process is the same every time. You can give your team a script that they either memorize or copy and paste. Juggling multiple documents and windows is cumbersome and inefficient. If you pay FedEx for overnight shipping, you know that package will be there the next day.

Customer Service 156

Customer Service Scripts Accountability Customer Experience 156

AWS Machine Learning

JUNE 15, 2022

Amazon Kendra uses deep learning and reading comprehension to deliver precise answers, and returns a list of ranked documents that match the search query for you to choose from. We first ingest a set of documents, along with their metadata, into an Amazon Kendra index. Solution overview.

APIs 91

APIs Scripts Technology Engineering 91

AWS Machine Learning

DECEMBER 21, 2023

Typically, call scripts guide agents through calls and outline addressing issues. Well-written scripts improve compliance, reduce errors, and increase efficiency by helping agents quickly understand problems and solutions. In particular, complete the following prerequisite steps: Deploy an Amazon SageMaker domain.

Contact Center 117

Contact Center Scripts Interactive Voice Response contact center solutions 117

AWS Machine Learning

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful. The cost associated with training models on recent data is high.

APIs 120

APIs Healthcare Scripts Engineering 120

AWS Machine Learning

JUNE 12, 2024

Amazon Q returns the response as a JSON object (detailed in the Amazon Q documentation ). sourceAttributions – The source documents used to generate the conversation response. In Retrieval Augmentation Generation (RAG), this always refers to one or more documents from enterprise knowledge bases that are indexed in Amazon Q.

APIs 134

APIs Enterprise Accountability Feedback 134

AWS Machine Learning

APRIL 23, 2024

By performing operations (applications, infrastructure) as code, you can provide consistent and reliable deployments in multiple AWS accounts and AWS Regions, and maintain versioned and auditable infrastructure configurations. For latest information, please refer to the documentation above.

APIs 126

APIs Enterprise Scripts Accountability 126

Customers That Stick

DECEMBER 15, 2014

It should be noted that both our question and LoyaltyOne’s only scratch the surface of this topic and also don’t (seem to) account for the difference in feelings people might have for industries that are generally expected to be open on holidays, like movie theaters and restaurants. Photo Credit: [link].

Surveys 126

Surveys Customer Care Scripts Contact Center 126

AWS Machine Learning

NOVEMBER 20, 2023

A typical RAG solution for knowledge retrieval from documents uses an embeddings model to convert the data from the data sources to embeddings and stores these embeddings in a vector database. When a user asks a question, it searches the vector database and retrieves documents that are most similar to the user’s query.

APIs 122

APIs Entertainment Accountability Customer Experience 122

SharpenCX

APRIL 22, 2021

Once agents feel calm and ready to tackle even the most heated interactions, they can flip the script and use positive language with the customer. How agents can handle complainers (+ example scripts): Empathize. Read Next] The 6 live chat support scripts you need in your internal knowledge base. Commit to going the extra mile.

Scripts 128

Scripts Coaching Call Center Accountability 128

AWS Machine Learning

JUNE 17, 2024

Batch transform The batch transform pipeline consists of the following steps: The pipeline implements a data preparation step that retrieves data from a PrestoDB instance (using a data preprocessing script ) and stores the batch data in Amazon Simple Storage Service (Amazon S3). Follow the instructions in the GitHub README.md

Scripts 120

Scripts Engineering Metrics Big data 120

AWS Machine Learning

DECEMBER 5, 2023

For instance, according to International Data Corporation (IDC), the world’s data volume is expected to increase tenfold by 2025, with unstructured data accounting for a significant portion. For example, you can provide search results for cities across the world, where documents are filtered by a specific city with which they are associated.

APIs 122

APIs Enterprise Accountability Healthcare 122

Nexmo

OCTOBER 7, 2020

Vonage API Account. To complete this tutorial, you will need a Vonage API account. Once you have an account, you can find your API Key and API Secret at the top of the Vonage API Dashboard. Web Component polyfill --> <script src="[link]. <!-- ” The documentation has more info and offers alternatives.

APIs 118

APIs Scripts Accountability 118

AWS Machine Learning

NOVEMBER 30, 2023

For information on additional Slurm commands and configuration, refer to the Slurm Workload Manager documentation. Prerequisites Before you create your SageMaker HyperPod, you first need to configure your VPC, create an FSx for Lustre file system, and establish an S3 bucket with your desired cluster lifecycle scripts. Choose Save.

Scripts 121

Scripts Engineering Government Management 121

AWS Machine Learning

MARCH 20, 2023

Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. To access the code and documentation, refer to the GitHub repo. For more information, refer to Lower Numerical Precision Deep Learning Inference and Training.

Calibration 96

Calibration Scripts Benchmark APIs 96

UJET

SEPTEMBER 10, 2019

Live chat and text (combined) account of 27 percent of preferred service channels. For each chat, agents will need to reply to customer questions, research account activity and notes, troubleshoot any issues, provide supporting help documentation, and any number of other tasks. Doesn’t Need a Script.

Scripts 99

Scripts Entertainment Self service Accountability 99

Help Scout

JULY 13, 2021

Requiring customers to make a phone call to cancel or modify their account, when everything else can be done online, is infuriating. Tarek Khalil took to Twitter to document his quest to cancel his Baremetrics account. Be careful about scripting customer service responses too tightly. How Bare you?

Customer Service 137

Customer Service Scripts Chatbots Airlines 137

AWS Machine Learning

APRIL 25, 2024

Make sure the AWS account has a service quota for hosting a SageMaker endpoint for an ml.g5.2xlarge instance. You use the same script for downloading the model file when creating the SageMaker endpoint. Make sure your AWS Identity and Access Management (IAM) user has the necessary access permissions for creating a SageMaker role.

Scripts 119

Scripts Analytics Accountability Sales 119

AWS Machine Learning

APRIL 22, 2024

To achieve this multi-user environment, you can take advantage of Linux’s user and group mechanism and statically create multiple users on each instance through lifecycle scripts. Create a VPC, subnets, and a security group Follow the instructions in the Own Account section of the HyperPod workshop. strip(), pysss.password().AES_256))"

Scripts 114

Scripts Engineering Management Benchmark 114

AWS Machine Learning

MAY 22, 2024

For details, see Creating an AWS account. Ensure sufficient capacity for this instance in your AWS account by requesting a quota increase if required. The script also merges the LoRA weights into the model weights after training. You can follow the steps in the documentation to enable model access.

Scripts 134

Scripts Engineering Accountability APIs 134

AWS Machine Learning

AUGUST 24, 2023

SageMaker Profiler provides Python modules for annotating PyTorch or TensorFlow training scripts and activating SageMaker Profiler. You can also use optional custom annotations to add markers in the training script to visualize hardware activities during particular operations in each step. For more information, refer to documentation.

Scripts 96

Scripts Metrics Finance Enterprise 96