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.

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Scripts Metrics APIs Healthcare 78

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).

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Scripts Accountability Education Feedback 122

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.

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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.

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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.

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AWS Machine Learning

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. A Business or Enterprise Google Workspace account with access to Google Chat.

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APIs Scripts Accountability Construction 119

AWS Machine Learning

NOVEMBER 14, 2024

Traditional methods relying on manual data entry or custom scripts for each vendor’s format can not only lead to inefficiencies, but can also increase the potential for errors, resulting in financial discrepancies, operational bottlenecks, and backlogs. Importantly, your document and data are not stored after processing.

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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.

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Scripts Chatbots Accountability Multi-channel support 118

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.

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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.

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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.

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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.

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Transportation Scripts Accountability Benchmark 118

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+

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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.

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Contact Center Scripts Interactive Voice Response contact center solutions 112

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

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Scripts Engineering Metrics Big data 118

AWS Machine Learning

NOVEMBER 14, 2024

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

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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.

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APIs Scripts Technology Engineering 77

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.

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APIs Entertainment Accountability Customer Experience 117

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

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.

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APIs Healthcare Scripts Engineering 115

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.

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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 119

APIs Enterprise Accountability Healthcare 119

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.

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APIs Enterprise Scripts Accountability 124

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.

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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.

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APIs Enterprise Accountability Feedback 125

AWS Machine Learning

OCTOBER 23, 2024

For instance, when developing a medical search engine, obtaining a large dataset of real user queries and relevant documents is often infeasible due to privacy concerns surrounding personal health information. These PDFs will serve as the source for generating document chunks. Evaluate and compare the fine-tuned model.

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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.

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Scripts Metrics Finance Enterprise 84

AWS Machine Learning

JUNE 19, 2024

Imagine the possibilities: Quick and efficient brainstorming sessions, real-time ideation, and even drafting documents or code snippets—all powered by the latest advancements in AI. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account?

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APIs Engineering Accountability Scripts 122

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. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.

Chatbots 91

Chatbots Scripts APIs Feedback 91

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.

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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))"

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AWS Machine Learning

SEPTEMBER 30, 2024

An import job orchestrates the process to import the model and make the model available from the customer account. The import job copies all the model artifacts from the user’s account into an AWS managed S3 bucket. When the import job is complete, the fine-tuned model is made available for invocation from your AWS account.

APIs 84

APIs Real estate Accountability Metrics 84

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.

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Best practices Call Center Contact Center Scripts 226

AWS Machine Learning

SEPTEMBER 23, 2024

Before running the labs in this post, ensure you have the following: An AWS account. If this is your first time setting up an AWS account, see the IAM documentation for information about configuring IAM. Boto3 is the AWS SDK for Python that helps you to integrate AWS services with applications or scripts written in Python.

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APIs Scripts Technology Accountability 121

AWS Machine Learning

OCTOBER 2, 2024

User Query Session Attributes Session prompt Attributes Expected Response API, Knowledge Bases and Guardrails invoked What is my account balance? None None Could you please provide the number of the account that you would like to check the balance for? None What is the balance for the account 1234?

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Best practices APIs Metrics Accountability 94

Fonolo

DECEMBER 8, 2023

Our 2024 trends document covers it all. That means they can have conversations and answer questions far beyond a simple script. Once you’re on the line with an agent, AI-assist will also ensure your full transaction history and account details are pre-populated, so you don’t need to repeat your information.

Contact Center 81

Contact Center Big data Chatbots Scripts 81

CSM Magazine

MARCH 25, 2024

Role-playing exercises and scripts can guide them through a variety of tough scenarios. Stay Professional : Maintain a professional demeanor and use a script if available to ensure the message is conveyed correctly. Document the Call : Notate the customer’s account with details of the incident and actions taken.

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Scripts Call Center Contact Center Customer Service 52