AWS Machine Learning

OCTOBER 29, 2024

Security – The solution uses AWS services and adheres to AWS Cloud Security best practices so your data remains within your AWS account. For a detailed breakdown of the features and implementation specifics, refer to the comprehensive documentation in the GitHub repository.

Best practices 112

Best practices Feedback Metrics APIs 112

AWS Machine Learning

NOVEMBER 6, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. Queries is a feature that enables you to extract specific pieces of information from varying, complex documents using natural language.

APIs 128

APIs Best practices Banking Accountability 128

AWS Machine Learning

SEPTEMBER 8, 2023

For modern companies that deal with enormous volumes of documents such as contracts, invoices, resumes, and reports, efficiently processing and retrieving pertinent data is critical to maintaining a competitive edge. What if there was a way to process documents intelligently and make them searchable in with high accuracy?

Construction 131

Construction Metrics Best practices APIs 131

AWS Machine Learning

OCTOBER 24, 2023

In today’s information age, the vast volumes of data housed in countless documents present both a challenge and an opportunity for businesses. Traditional document processing methods often fall short in efficiency and accuracy, leaving room for innovation, cost-efficiency, and optimizations. However, the potential doesn’t end there.

Engineering 138

Engineering Healthcare Construction APIs 138

AWS Machine Learning

MAY 1, 2024

We developed the Document Translation app, which uses Amazon Translate , to address these issues. The Document Translation app uses Amazon Translate for performing translations. Amazon Translate provides high-quality document translations for contextual, accurate, and fluent translations. 1 – Translating a document.

APIs 128

APIs Construction Best practices Technology 128

AWS Machine Learning

MARCH 4, 2025

Amazon Bedrock Knowledge Bases has a metadata filtering capability that allows you to refine search results based on specific attributes of the documents, improving retrieval accuracy and the relevance of responses. Improving document retrieval results helps personalize the responses generated for each user.

APIs 88

APIs Best practices Management Personalization 88

AWS Machine Learning

MARCH 25, 2024

Because these best practices might not be appropriate or sufficient for your environment, use them as helpful considerations rather than prescriptions. Best practice 2 – Communicate over a private network path Many customers rely on encryption in transit to securely communicate with Amazon Transcribe over the Internet.

Best practices 109

Best practices APIs Transportation Personalization 109

AWS Machine Learning

AUGUST 14, 2024

While using their data source, they want better visibility into the document processing lifecycle during data source sync jobs. They want to know the status of each document they attempted to crawl and index, as well as the ability to troubleshoot why certain documents were not returned with the expected answers.

Enterprise 122

Enterprise APIs Engineering Accountability 122

AWS Machine Learning

JANUARY 8, 2024

AWS customers in healthcare, financial services, the public sector, and other industries store billions of documents as images or PDFs in Amazon Simple Storage Service (Amazon S3). In this post, we focus on processing a large collection of documents into raw text files and storing them in Amazon S3.

Scripts 113

Scripts Construction APIs Healthcare 113

AWS Machine Learning

MARCH 14, 2024

There are several use cases where RAG can help improve FM performance: Question answering – RAG models help question answering applications locate and integrate information from documents or knowledge sources to generate high-quality answers. The retrieved information provides useful context and ideas.

Best practices 133

Best practices Engineering Chatbots Enterprise 133

Totango

JUNE 24, 2022

SaaS technology and supporting apps should be used to implement a data-driven approach to customer success, automate best practices, monitor results, and manage performance. To achieve performance goals, best practices should be defined and automated for each customer journey stage. Here are five keys to doing it right.

Best practices 109

Best practices SaaS Journey mapping B2C 109

AWS Machine Learning

JANUARY 22, 2025

The following is an example FlowMultiTurnInputRequestEvent JSON object: { "nodeName": "Trip_planner", "nodeType": "AgentNode", "content": { "document": "Certainly! The following is an example FlowOutputEvent JSON object: { "nodeName": "FlowOutputNode", "content": { "document": "Great news! I've successfully booked your flight to Paris.

APIs 129

APIs Transportation Best practices Enterprise 129

AWS Machine Learning

MARCH 6, 2023

In this post, we dive into tips and best practices for successful LLM training on Amazon SageMaker Training. The post covers all the phases of an LLM training workload and describes associated infrastructure features and best practices. Some of the best practices in this post refer specifically to ml.p4d.24xlarge

Best practices 102

Best practices APIs Transportation Scripts 102

AWS Machine Learning

AUGUST 21, 2024

Today, physicians spend about 49% of their workday documenting clinical visits, which impacts physician productivity and patient care. By using the solution, clinicians don’t need to spend additional hours documenting patient encounters. This blog post focuses on the Amazon Transcribe LMA solution for the healthcare domain.

Healthcare 116

Healthcare Consulting Consulting APIs 116

AWS Machine Learning

OCTOBER 2, 2024

This two-part series explores best practices for building generative AI applications using Amazon Bedrock Agents. It’s also a best practice to collect any extra information that would be shared with the agent in a production system. Implement citation mechanisms to reference source documents in responses.

Best practices 99

Best practices APIs Metrics Accountability 99

AWS Machine Learning

JANUARY 6, 2023

In this post, we go through a set of best practices for using ML to create a bot that will delight your customers by accurately understanding them. The best practices listed in the following sections can support you in building a bot that will give your customers a great user experience and work well for your use case.

Best practices 101

Best practices Chatbots Engineering Technology 101

AWS Machine Learning

FEBRUARY 11, 2025

Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management. These tasks often involve processing vast amounts of documents, which can be time-consuming and labor-intensive. Then we introduce the solution deployment using three AWS CloudFormation templates.

Enterprise 94

Enterprise Engineering APIs Best practices 94

AWS Machine Learning

MAY 1, 2024

This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. For documentation retrieval, Retrieval Augmented Generation (RAG) stands out as a key tool. Virginia) AWS Region. The following diagram illustrates the solution architecture.

Chatbots 130

Chatbots APIs Engineering Automotive 130

AWS Machine Learning

MARCH 27, 2025

Lets say the task at hand is to predict the root cause categories (Customer Education, Feature Request, Software Defect, Documentation Improvement, Security Awareness, and Billing Inquiry) for customer support cases. We suggest consulting LLM prompt engineering documentation such as Anthropic prompt engineering for experiments.

Education 93

Education Engineering APIs Enterprise 93

Hodusoft

SEPTEMBER 14, 2023

Best Practices for Onboarding New Tenants to the ISP Network As an Internet Service Provider (ISP) you know it’s not easy to acquire tenants (clients or subscribers who rent or lease Internet services from you). It’s critical to actively think about the entire customer journey, define it, map it, and document it.”

Best practices 98

Best practices Feedback Education Self service 98

AWS Machine Learning

FEBRUARY 9, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Signatures is a feature within Amazon Textract that offers the ability to automatically detect signatures on any document. Lastly, we share some best practices for using this feature.

APIs 101

APIs Best practices Banking Enterprise 101

AWS Machine Learning

SEPTEMBER 6, 2024

In this post, we discuss best practices for working with FMEval in ground truth curation and metric interpretation for evaluating question answering applications for factual knowledge and quality. We used Amazon’s Q2 2023 10Q report as the source document from the SEC’s public EDGAR dataset to create 10 question-answer-fact triplets.

Best practices 93

Best practices Metrics Sales Benchmark 93

AWS Machine Learning

NOVEMBER 1, 2024

In this post, we explore the best practices and lessons learned for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock. However, achieving optimal performance with fine-tuning requires effort and adherence to best practices.

Best practices 97

Best practices APIs Finance Metrics 97

AWS Machine Learning

APRIL 19, 2023

The ability to effectively handle and process enormous amounts of documents has become essential for enterprises in the modern world. Due to the continuous influx of information that all enterprises deal with, manually classifying documents is no longer a viable option.

APIs 99

APIs Metrics Enterprise Best practices 99

AWS Machine Learning

MAY 15, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. In this post, we walk through when and how to use the Amazon Textract Bulk Document Uploader to evaluate how Amazon Textract performs on your documents.

APIs 95

APIs Construction Accountability Best practices 95

AWS Machine Learning

SEPTEMBER 20, 2024

When using your data source, you might want better visibility into the document processing lifecycle during data source sync jobs. They could include knowing the status of each document you attempted to crawl and index, as well as being able to troubleshoot why certain documents were not returned with the expected answers.

APIs 89

APIs Engineering Enterprise Best practices 89

ShepHyken

SEPTEMBER 13, 2019

Share documentation . Implementing these 7 live chat best practices can contribute to customer success and positive word-of-mouth, and help your business grow through improved retention and new customer acquisition. According to Forrester research , customers prefer knowledge bases over all other self-service channels.

Customer Experience 282

Customer Experience Technical Support Self service Best practices 282

CCNG

MAY 27, 2021

Bring in Expertise – Wealth of knowledge Although you are the expert on everything about your company, center and customer, an outside consultant can bring in expertise on industry best practices for a variety of workstreams. Identify Gaps or problems – Find the Problem Consultants conduct full 360 reviews of your contact center.

Consulting 195

Consulting Consulting Contact Center Gamification 195

AWS Machine Learning

JANUARY 10, 2023

This post describes the best practices for load testing a SageMaker endpoint to find the right configuration for the number of instances and size. To further understand Locust, check out their documentation. This can help us understand the minimum provisioned instance requirements to meet our latency and TPS requirements.

Best practices 94

Best practices Scripts APIs Metrics 94

AWS Machine Learning

JANUARY 28, 2025

By documenting the specific model versions, fine-tuning parameters, and prompt engineering techniques employed, teams can better understand the factors contributing to their AI systems performance. This record-keeping allows developers and researchers to maintain consistency, reproduce results, and iterate on their work effectively.

Management 106

Management APIs Engineering Metrics 106

Callminer

JULY 22, 2020

For call centers, there are various ways that termination letters can be created to align with legal best practices and company needs. We will go over a few key elements of a well-drafted termination letter below, but first, we should touch on the primary types of termination letters that exist.

Call Center 182

Call Center Customer Service Best practices Coaching 182

AWS Machine Learning

AUGUST 19, 2022

Because many data scientists may lack experience in the acceleration training process, in this post we show you the factors that matter for fast deep learning model training and the best practices of acceleration training for TensorFlow 1.x We discuss best practices in the following areas: Accelerate training on a single instance.

Best practices 94

Best practices APIs Scripts Advertising 94

AWS Machine Learning

FEBRUARY 12, 2025

The following best practices will help you establish standardized benchmarking when comparing different foundation models. Document your evaluation configuration and parameters for reproducibility. Document any modifications made based on evaluation insights. decode('utf-8') for line in content.strip().split('n'):

Metrics 95

Metrics Engineering APIs Benchmark 95

CCNG

FEBRUARY 8, 2023

Customers said that the new contact center offered the best support they had ever received from Baxter. By focusing on moving from the Document stage to the Train stage on the Knowledge Ops Maturity Model they made it easy for agents to be knowledgeable, helpful, and efficient after just two weeks of training. How did they do it?

Service level 195

Service level CCNG Contact Center Healthcare 195

AWS Machine Learning

MARCH 18, 2025

Site monitors conduct on-site visits, interview personnel, and verify documentation to assess adherence to protocols and regulatory requirements. However, this process can be time-consuming and prone to errors, particularly when dealing with extensive audio recordings and voluminous documentation.

Healthcare 85

Healthcare Analytics Consulting Consulting 85

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 94

Enterprise Engineering APIs Accountability 94

AWS Machine Learning

NOVEMBER 15, 2024

xlarge", n_instances=1) If the endpoint is already created using SageMaker Studio, you can simply connect to it: co.connect_to_endpoint(endpoint_name="cohere-embed-english-v3") Consider the following best practices: Choose an appropriate instance type based on your performance and cost requirements. This example uses ml.g5.xlarge,

Benchmark 108

Benchmark Enterprise Construction Engineering 108