AWS Machine Learning

FEBRUARY 21, 2025

Besides the efficiency in system design, the compound AI system also enables you to optimize complex generative AI systems, using a comprehensive evaluation module based on multiple metrics, benchmarking data, and even judgements from other LLMs. The code from this post and more examples are available in the GitHub repository.

Benchmark 84

Benchmark Metrics Engineering Feedback 84

AWS Machine Learning

FEBRUARY 12, 2025

Prerequisites To use the LLM-as-a-judge model evaluation, make sure that you have satisfied the following requirements: An active AWS account. You can confirm that the models are enabled for your account on the Model access page of the Amazon Bedrock console. Document your evaluation configuration and parameters for reproducibility.

Metrics 93

Metrics Engineering Benchmark APIs 93

AWS Machine Learning

OCTOBER 26, 2022

To help determine whether a serverless endpoint is the right deployment option from a cost and performance perspective, we have developed the SageMaker Serverless Inference Benchmarking Toolkit , which tests different endpoint configurations and compares the most optimal one against a comparable real-time hosting instance.

Benchmark 80

Benchmark Metrics Enterprise Management 80

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 76

APIs Management Benchmark Scripts 76

AWS Machine Learning

MAY 2, 2024

In September of 2023, we announced the launch of Amazon Titan Text Embeddings V1, a multilingual text embeddings model that converts text inputs like single words, phrases, or large documents into high-dimensional numerical vector representations. In this benchmark, 33 different text embedding models were evaluated on the MTEB tasks.

Benchmark 127

Benchmark Metrics Enterprise APIs 127

Totango

FEBRUARY 2, 2021

Customer success plans are proposals that document your clients’ goals and how you will help achieve them. A set of key performance indicators and benchmarks to track and measure client progress towards goals. You could then define four minutes and three minutes as benchmarks along your customer’s path to their goal.

Benchmark 127

Benchmark Chatbots Accountability Enterprise 127

AWS Machine Learning

NOVEMBER 15, 2024

This centralized system consolidates a wide range of data sources, including detailed reports, FAQs, and technical documents. The system integrates structured data, such as tables containing product properties and specifications, with unstructured text documents that provide in-depth product descriptions and usage guidelines.

APIs 118

APIs Engineering Chatbots Construction 118

AWS Machine Learning

NOVEMBER 19, 2024

Its agent for software development can solve complex tasks that go beyond code suggestions, such as building entire application features, refactoring code, or generating documentation. Learn how they created specialized agents for different tasks like account management, repos, pipeline management, and more to help their developers go faster.

APIs 95

APIs Enterprise Best practices Government 95

AWS Machine Learning

JUNE 20, 2024

In addition, RAG architecture can lead to potential issues like retrieval collapse , where the retrieval component learns to retrieve the same documents regardless of the input. Lack of standardized benchmarks – There are no widely accepted and standardized benchmarks yet for holistically evaluating different capabilities of RAG systems.

Metrics 134

Metrics Engineering Accountability Benchmark 134

AWS Machine Learning

SEPTEMBER 12, 2024

You can use the BGE embedding model to retrieve relevant documents and then use the BGE reranker to obtain final results. On Hugging Face, the Massive Text Embedding Benchmark (MTEB) is provided as a leaderboard for diverse text embedding tasks. It currently provides 129 benchmarking datasets across 8 different tasks on 113 languages.

APIs 131

APIs Benchmark Enterprise Construction 131

AWS Machine Learning

AUGUST 2, 2024

For more details about how to run graph multi-task learning with GraphStorm, refer to Multi-task Learning in GraphStorm in our documentation. we released a LM+GNN benchmark using the large graph dataset, Microsoft Academic Graph (MAG), on two standard graph ML tasks: node classification and link prediction. Dataset Num. of nodes Num.

APIs 116

APIs Benchmark Construction Enterprise 116

AWS Machine Learning

MARCH 11, 2025

Prerequisites To run the example notebooks, you need an AWS account with an AWS Identity and Access Management (IAM) role with permissions to manage resources created. For details, refer to Create an AWS account. DeepSeek-R1-Distill-Llama-8B DeepSeek-R1-Distill-Llama-8B was benchmarked across ml.g5.2xlarge , ml.g5.12xlarge , ml.g6e.2xlarge

Metrics 73

Metrics Benchmark Enterprise Telecommunications 73

AWS Machine Learning

MARCH 3, 2025

Through comparative benchmarking tests, we illustrate how deploying FMs in Local Zones closer to end users can significantly reduce latencya critical factor for real-time applications such as conversational AI assistants. Detailed instructions for installing LLMPerf and executing the load testing are available in the projects documentation.

APIs 73

APIs Benchmark Metrics Healthcare 73

Totango

NOVEMBER 10, 2020

Outcome success plans focus on capturing mutual objectives, documenting the steps toward achieving them, and sharing information between both clients and your own internal teams—driving interconnectivity and displaying progress through one easily accessed live portal. Document and capture new initiatives as they arise.

Enterprise 123

Enterprise Benchmark Accountability Management 123

Callminer

JANUARY 18, 2021

“The nature of a call center operator’s job is very sensitive, as there is account information available every time they assist a customer. Procedures also document guidelines for notifying managers and leaders or creating action plans if performance falls below a certain level.”

Best practices 226

Best practices Call Center Contact Center Scripts 226

Totango

DECEMBER 1, 2021

An agile approach to CS management can be broken down into seven steps: Document your client’s requirements. Document Your Client’s Requirements. Effective agile CS starts with clear, documented requirements based on client engagement and input. Standardize your documentation approach by developing a requirements template.

Government 103

Government Journey mapping Accountability Benchmark 103

Lumoa

MARCH 24, 2022

Setting survey response rate benchmarks can help you assess the performance and overall growth of your customer experience management (CEM) system. While benchmarking is a common process in many companies, the exact steps and data collected need to be adjusted to each organization’s requirements.

Surveys 78

Surveys Benchmark Metrics Feedback 78

AWS Machine Learning

MAY 9, 2024

By taking a proactive approach , the CoE provides ethical compliance but also builds trust, enhances accountability, and mitigates potential risks such as veracity, toxicity, data misuse, and intellectual property concerns. Platform – A central platform such as Amazon SageMaker for creation, training, and deployment.

Government 130

Government Best practices Benchmark Metrics 130

AWS Machine Learning

AUGUST 26, 2024

Our field organization includes customer-facing teams (account managers, solutions architects, specialists) and internal support functions (sales operations). Personalized content will be generated at every step, and collaboration within account teams will be seamless with a complete, up-to-date view of the customer.

Sales 125

Sales Accountability Feedback Metrics 125

AWS Machine Learning

NOVEMBER 22, 2023

Model choices – SageMaker JumpStart offers a selection of state-of-the-art ML models that consistently rank among the top in industry-recognized HELM benchmarks. For instance, a financial firm might prefer its Q&A bot to source answers from its latest internal documents, ensuring accuracy and compliance with its business rules.

Engineering 120

Engineering Chatbots Benchmark APIs 120

AWS Machine Learning

JUNE 15, 2023

First, we put the source documents, reference documents, and parallel data training set in an S3 bucket. The source_data folder contains the source documents before the translation; the generated documents after the batch translation are put in the output folder.

APIs 95

APIs Benchmark Best practices Engineering 95

Callminer

AUGUST 1, 2017

Training documentation needs to be updated regularly, and on-going training is important for improving efficiency. Smitha obtained her license as CPA in 2007 from the California Board of Accountancy. This will improve campaign performance overall including agents’ service levels. Scott Nazareth.

Contact Center 334

Contact Center Call Center Average Handle Time Real estate 334

AWS Machine Learning

APRIL 22, 2024

These include the ability to analyze massive amounts of data, identify patterns, summarize documents, perform translations, correct errors, or answer questions. This involves documenting data lineage, data versioning, automating data processing, and monitoring data management costs.

Best practices 135

Best practices Benchmark Transportation Engineering 135

AWS Machine Learning

MAY 17, 2024

What is Mixtral 8x22B Mixtral 8x22B is Mistral AI’s latest open-weights model and sets a new standard for performance and efficiency of available foundation models , as measured by Mistral AI across standard industry benchmarks. making the model available for exploring, testing, and deploying.

Benchmark 125

Benchmark APIs Personalization Enterprise 125

AWS Machine Learning

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. As of this writing, it includes the following values: TABLES , FORMS , QUERIES , SIGNATURES , and LAYOUT.

Finance 106

Finance Best practices APIs Accountability 106

AWS Machine Learning

SEPTEMBER 6, 2023

Alternative LLMs can be deployed based on the use case and model performance benchmarks. Embeddings for documents are generated using the text-to-embeddings model and these embeddings are indexed into OpenSearch Service. Prerequisites Before getting started, make sure you have the following prerequisites: An AWS account.

Enterprise 122

Enterprise APIs Real estate Construction 122

SharpenCX

SEPTEMBER 8, 2021

Back in college, I took a summer job that made me use Slack, email, a call center platform, and an internal documentation system simultaneously. Document and define your communication standards and culture in a place where all new and current employees can easily access them. Set Up New Hires on All Technology.

Call Center 128

Call Center Coaching Feedback Contact Center 128

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. Code generation DBRX models demonstrate benchmarked strengths for coding tasks.

Transportation 126

Transportation Scripts Accountability Benchmark 126

Nicereply

FEBRUARY 1, 2022

If your support team doesn’t have any dedicated people keeping your documentation current, now is a great time to do a full review. Examine every existing customer-facing document for accuracy and edit them as needed. Now that you’ve taken a look at your user-facing documentation, check out the internal documents too.

Customer Support 97

Customer Support Metrics Feedback Accountability 97

AWS Machine Learning

MARCH 20, 2023

Refer to the appendix for instance details and benchmark data. To access the code and documentation, refer to the GitHub repo. Given a document as an input, the model will answer simple questions based on the learning and contexts from the input document. The following diagram illustrates the high-level flow.

Calibration 94

Calibration Scripts Benchmark APIs 94

Cincom

MAY 3, 2024

Manually creating customized communication documents like quotes, invoices, contracts, and reports is an inefficient process prone to human error. If you’re considering implementing a document automation solution for your organization, there are several key capabilities to evaluate during your search. What Is Document Automation?

Enterprise 40

Enterprise CRM APIs Customer retention 40

Help Scout

JULY 13, 2021

Read Email Response Times: Benchmarks and Tips for Support for practical advice. 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. How Bare you?

Customer Service 137

Customer Service Scripts Chatbots Airlines 137

AWS Machine Learning

OCTOBER 2, 2024

Laying the groundwork: Collecting ground truth data The foundation of any successful agent is high-quality ground truth data—the accurate, real-world observations used as reference for benchmarks and evaluating the performance of a model, algorithm, or system. None What is the balance for the account 1234?

Best practices 98

Best practices APIs Metrics Accountability 98

AWS Machine Learning

MARCH 3, 2023

We estimated these numbers by running benchmark tests on different dataset sizes from 0.5 You can learn more on the SageMaker Canvas product page and the documentation. He helps hi-tech strategic accounts on their AI and ML journey. MB to 100 MB in size. About the Authors Ajjay Govindaram is a Senior Solutions Architect at AWS.

Benchmark 94

Benchmark Big data Banking Analytics 94

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 78

Scripts Metrics Engineering Accountability 78

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. You can follow the steps in the documentation to enable model access. We use Amazon SageMaker Studio with the ml.t3.medium medium instance and the Data Science 3.0

Scripts 133

Scripts Engineering Accountability Benchmark 133

AWS Machine Learning

OCTOBER 5, 2023

For Input format , choose One document per line. We are using the max F1 score at the threshold as a benchmark to determine positive vs. negative for that label instead of a common benchmark (a standard value like > 0.7) This helps you avoid continuing costs in your account. For Version , specify 1. for all the labels.

Benchmark 121

Benchmark Best practices Metrics Government 121