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 DSPy lifecycle is presented in the following diagram in seven steps.

Benchmark 85

Benchmark Metrics Engineering Feedback 85

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. These metrics provide high precision but are limited to specific use cases due to limited ground truth data.

Education 91

Education Engineering APIs Enterprise 91

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 83

Benchmark Metrics Enterprise Management 83

AWS Machine Learning

JANUARY 28, 2025

To effectively optimize AI applications for responsiveness, we need to understand the key metrics that define latency and how they impact user experience. These metrics differ between streaming and nonstreaming modes and understanding them is crucial for building responsive AI applications.

Benchmark 71

Benchmark APIs Engineering Metrics 71

Fonolo

APRIL 14, 2022

The best strategy is to use a combination of data reports and benchmarking to ensure your findings reflect “the big picture” Creating a Customer Service Strategy That Drives Business Growth. NPS is one of the strongest customer service metrics available to a call center. How to Establish a Net Promoter Score Benchmark.

Benchmark 91

Benchmark Call Center Surveys Interactive Voice Response 91

AWS Machine Learning

DECEMBER 3, 2024

The challenge: Resolving application problems before they impact customers New Relic’s 2024 Observability Forecast highlights three key operational challenges: Tool and context switching – Engineers use multiple monitoring tools, support desks, and documentation systems. New Relic AI conducts a comprehensive analysis of the checkout service.

Customer Experience 104

Customer Experience Engineering Enterprise Benchmark 104

AWS Machine Learning

MAY 2, 2024

As new embedding models are released with incremental quality improvements, organizations must weigh the potential benefits against the associated costs of upgrading, considering factors like computational resources, data reprocessing, integration efforts, and projected performance gains impacting business metrics.

Benchmark 126

Benchmark Metrics Enterprise APIs 126

PeopleMetrics

APRIL 12, 2017

And that time is quickly fading away, along with once-common practices like writing checks to pay monthly bills and physically signing mortgage application documents. It's easier to sell a metric to leadership if other high-performing institutions are using it. A metric that everyone understands is a metric that everyone can act on.

Metrics 87

Metrics Customer Experience Banking industry standards 87

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. This makes it difficult to apply standard evaluation metrics like BERTScore ( Zhang et al.

Metrics 134

Metrics Engineering Accountability Benchmark 134

AWS Machine Learning

JUNE 11, 2024

This post describes how to get started with the software development agent, gives an overview of how the agent works, and discusses its performance on public benchmarks. This is an important metric because our customers want to use the agent to solve real-world problems and we are proud to report a state-of-the-art pass rate.

Benchmark 134

Benchmark Metrics Feedback Personalization 134

Callminer

JANUARY 18, 2021

They are an easy way to track metrics and discover trends within your agents. They fall into the same bucket as quality, call control, customer satisfaction, absenteeism and other metrics. They engage in performance management, they set targets, they may even terminate employees for these metrics.” This is short-sighted.

Best practices 226

Best practices Call Center Contact Center Scripts 226

AWS Machine Learning

SEPTEMBER 6, 2024

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.

Best practices 91

Best practices Metrics Sales Benchmark 91

AWS Machine Learning

MARCH 11, 2025

Logging and monitoring You can monitor SageMaker AI using Amazon CloudWatch , which collects and processes raw data into readable, near real-time metrics. These metrics are retained for 15 months, allowing you to analyze historical trends and gain deeper insights into your applications performance and health. 2xlarge , and ml.g6e.12xlarge

Metrics 72

Metrics Benchmark Enterprise Telecommunications 72

AWS Machine Learning

APRIL 25, 2024

Government agencies summarize lengthy policy documents and reports to help policymakers strategize and prioritize goals. By creating condensed versions of long, complex documents, summarization technology enables users to focus on the most salient content. This leads to better comprehension and retention of critical information.

Metrics 132

Metrics Benchmark Government Calibration 132

Fonolo

APRIL 14, 2022

The best strategy is to use a combination of data reports and benchmarking to ensure your findings reflect “the big picture” Creating a Customer Service Strategy That Drives Business Growth. NPS is one of the strongest customer service metrics available to a call center. How to Establish a Net Promoter Score Benchmark.

Benchmark 67

Benchmark Call Center Surveys Interactive Voice Response 67

Amity

NOVEMBER 21, 2016

Customer benchmarking — the practice of identifying where a customer can improve or is already doing well by comparing to other customers – helps Customer Success Managers to deliver unique value to their customers. I’ve found that SaaS vendors use seven distinct strategies to empower CSMs with customer benchmarking.

Benchmark 59

Benchmark SaaS Best practices Metrics 59

AWS Machine Learning

NOVEMBER 22, 2023

When a customer has a production-ready intelligent document processing (IDP) workload, we often receive requests for a Well-Architected review. To follow along with this post, you should be familiar with the previous posts in this series ( Part 1 and Part 2 ) and the guidelines in Guidance for Intelligent Document Processing on AWS.

APIs 116

APIs Metrics Benchmark Enterprise 116

Interaction Metrics

FEBRUARY 20, 2025

At Interaction Metrics, we take a smarter approach. Thats where Interaction Metrics comes in! We also benchmark your NPS against industry standards, providing critical insights that show where you stand compared to competitors. Dig Deeper into Your Scores Your NPS is an outcome, not an isolated metric. The result?

Surveys 62

Surveys Benchmark Feedback Metrics 62

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 71

APIs Benchmark Metrics Healthcare 71

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 115

APIs Benchmark Construction Enterprise 115

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

AUGUST 3, 2022

Amazon Comprehend is a natural-language processing (NLP) service you can use to automatically extract entities, key phrases, language, sentiments, and other insights from documents. All you need to do is load your dataset of documents and annotations, and use the Amazon Comprehend console, AWS CLI, or APIs to create the model.

Benchmark 87

Benchmark APIs Metrics Scripts 87

Calltools

AUGUST 19, 2020

This data allows them to bolster those areas to meet or even surpass industry standard call center KPI benchmarks, which is essential for your brand’s reputation. Improving your companies performance requires that you take a proactive approach with these metrics. Customers do not want to explain their issues over and over again.

Benchmark 52

Benchmark Call Center Abandon rate Interactive Voice Response 52

AWS Machine Learning

JUNE 20, 2023

The Carbontracker study estimates that training GPT-3 from scratch may emit up to 85 metric tons of CO2 equivalent, using clusters of specialized hardware accelerators. Therefore, we used common customer-inspired ML use cases for benchmarking and testing. The results are reported in the following sections.

Benchmark 94

Benchmark Engineering Banking Chatbots 94

AWS Machine Learning

OCTOBER 5, 2023

We demonstrate this using an Amazon Comprehend custom classification to build a multi-label custom classification model, and provide guidelines on how to prepare the training dataset and tune the model to meet performance metrics such as accuracy, precision, recall, and F1 score. For Input format , choose One document per line.

Benchmark 121

Benchmark Best practices Metrics Government 121

ProProfs Blog

DECEMBER 21, 2020

Reducing customer churn is impossible if you don’t have access to the right insights to analyze and use as a benchmark. Calculating the metrics is simple. Training Documentation. For this, you can start with employee training documentation. That way you can create documentation for commonly searched terms too.

Surveys 148

Surveys Benchmark Feedback Sales 148

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 136

Best practices Benchmark Transportation Engineering 136

Comm100

SEPTEMBER 28, 2022

Live Chat Benchmark Report 2022. Download our annual Live Chat Benchmark Report for free access to the latest live chat data alongside best practices and optimization. Here are some things to look for with this metric: How many chats are agents accepting as opposed to rejecting or passing off to other agents? Click here.

Average Handle Time 98

Average Handle Time Benchmark Wait times Metrics 98

Nicereply

FEBRUARY 1, 2022

Review Your Metrics. Take a look at the metrics you’re currently tracking. If you’re struggling to decide on which metrics to use, we’ve suggested some options here. Geckoboard suggests growing teams must track these five customer support metrics : First Reply Time. Are you happy with your CSAT results

Customer Support 97

Customer Support Metrics Feedback Accountability 97

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.

APIs 124

APIs Benchmark Personalization Enterprise 124

Balto

MARCH 17, 2025

Its not just about tracking basic metrics anymoreits about gaining comprehensive insights that drive strategic decisions. Key Metrics for Measuring Success Tracking the right performance indicators separates thriving call centers from struggling operations. This metric transforms support from cost center to growth driver.

Call Center 52

Call Center Customer Experience Average Handle Time Analytics 52

AWS Machine Learning

FEBRUARY 12, 2025

As a next step, you can explore fine-tuning your own LLM with Medusa heads on your own dataset and benchmark the results for your specific use case, using the provided GitHub repository. However, for better results, its generally recommended to set the number of epochs to at least 2 or 3.

Scripts 76

Scripts Metrics Engineering Accountability 76

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 Contact Center Feedback 128

Fonolo

DECEMBER 15, 2022

The Executive Guide to Improving 6 Contact Center Metrics. TIP: Call center scripts should be considered living documents, as they’ll need to be regularly updated to align with new industry trends, department goals, and both agent and customer feedback. Improve the Customer Journey. Involve Your Agents in Strategic Planning.

Call Center 138

Call Center Contact center software Abandon rate Self service 138

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. Implement citation mechanisms to reference source documents in responses.

Best practices 97

Best practices APIs Metrics Accountability 97

AWS Machine Learning

MARCH 3, 2023

We estimated these numbers by running benchmark tests on different dataset sizes from 0.5 The configuration tests include objective metrics such as F1 scores and Precision, and tune algorithm hyperparameters to produce optimal scores for these metrics. MB to 100 MB in size.

Benchmark 96

Benchmark Big data Banking Analytics 96