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 79

Benchmark Metrics Enterprise Management 79

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. How to Establish a Net Promoter Score Benchmark. Benchmarking isn’t just about improving your personal best.

Benchmark 91

Benchmark Call Center Surveys Interactive Voice Response 91

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. For a multiclass classification problem such as support case root cause categorization, this challenge compounds many fold.

Education 88

Education Engineering APIs Enterprise 88

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. Additionally, the question-answer pairs are used as training samples for the model fine-tuning.

Benchmark 82

Benchmark Metrics Engineering Feedback 82

AWS Machine Learning

MARCH 6, 2025

Optimized for search and retrieval, it streamlines querying LLMs and retrieving documents. Build sample RAG Documents are segmented into chunks and stored in an Amazon Bedrock Knowledge Bases (Steps 24). For this purpose, LangChain provides a WebBaseLoader object to load text from HTML webpages into a document format.

Metrics 83

Metrics Enterprise APIs Engineering 83

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 125

Benchmark Metrics Enterprise APIs 125

AWS Machine Learning

FEBRUARY 12, 2025

By using the same evaluator model across all comparisons, youll get consistent benchmarking results to help identify the optimal model for your use case. The following best practices will help you establish standardized benchmarking when comparing different foundation models. 0]}-{evaluator_model.split('.')[0]}-{datetime.now().strftime('%Y-%m-%d-%H-%M-%S')}"

Metrics 90

Metrics Engineering APIs Benchmark 90

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

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.

Customer Experience 103

Customer Experience Engineering Enterprise Benchmark 103

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 115

APIs Engineering Chatbots Construction 115

AWS Machine Learning

JANUARY 28, 2025

Consider benchmarking your user experience to find the best latency for your use case, considering that most humans cant read faster than 225 words per minute and therefore extremely fast response can hinder user experience. In such scenarios, you want to optimize for TTFT. Users prefer accurate responses over quick but less reliable ones.

Benchmark 70

Benchmark APIs Engineering Metrics 70

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

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. How to Establish a Net Promoter Score Benchmark. Benchmarking isn’t just about improving your personal best.

Benchmark 67

Benchmark Call Center Surveys Interactive Voice Response 67

AWS Machine Learning

JUNE 25, 2024

Jamba-Instruct is built by AI21 Labs, and most notably supports a 256,000-token context window, making it especially useful for processing large documents and complex Retrieval Augmented Generation (RAG) applications. Prompt guidance for Jamba-Instruct can be found in the AI21 model documentation.

APIs 121

APIs Benchmark Enterprise Technology 121

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. Attendees will learn practical applications of generative AI for streamlining and automating document-centric workflows. Hear from Availity on how 1.5

APIs 93

APIs Enterprise Best practices Government 93

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

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 130

APIs Benchmark Enterprise Construction 130

AWS Machine Learning

JUNE 6, 2024

You can use this tutorial as a starting point for a variety of chatbot-based solutions for customer service, internal support, and question answering systems based on internal and private documents. This makes the models especially powerful at tasks such as clustering for long documents like legal text or product documentation.

Benchmark 113

Benchmark Enterprise Construction APIs 113

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. We are grateful to the team releasing and maintaining this benchmark. We are proud to be able to share our state-of-the-art results on this benchmark.

Benchmark 131

Benchmark Metrics Feedback Personalization 131

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 132

Metrics Engineering Accountability Benchmark 132

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 114

APIs Benchmark Construction Enterprise 114

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. Wait time should be one of your most important call center KPI benchmarks. Proper documentation is key to preserving your brand’s reputation.

Benchmark 52

Benchmark Call Center Abandon rate Interactive Voice Response 52

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 114

APIs Metrics Benchmark Enterprise 114

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

Procedures also document guidelines for notifying managers and leaders or creating action plans if performance falls below a certain level.” The corporate strategy has already been defined and is evident in the Mission Statement, Vision and Values documents.

Best practices 226

Best practices Call Center Contact Center Scripts 226

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

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 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 83

Benchmark APIs Metrics Scripts 83

AWS Machine Learning

AUGUST 13, 2024

The healthcare industry generates and collects a significant amount of unstructured textual data, including clinical documentation such as patient information, medical history, and test results, as well as non-clinical documentation like administrative records. read()) answer = response_body.get("content")[0].get("text")

Healthcare 129

Healthcare APIs Consulting Consulting 129

AWS Machine Learning

JUNE 20, 2023

AWS Inferentia and AWS Trainium for sustainable ML To provide you with realistic numbers of the energy savings potential of AWS Inferentia and AWS Trainium in a real-world application, we have conducted several power draw benchmark experiments. Therefore, we used common customer-inspired ML use cases for benchmarking and testing.

Benchmark 92

Benchmark Engineering Banking Chatbots 92

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 131

Metrics Benchmark Government Calibration 131

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 117

Engineering Chatbots APIs Benchmark 117

Peter Lavers

FEBRUARY 24, 2015

However, I have found a few of the benchmarking models used by technology research companies & marketing professional bodies useful and have produced my own (on basis of 13 years experience in creating & leading such functions).

Best practices 162

Best practices Marketing Benchmark Feedback 162

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 123

APIs Benchmark Personalization Enterprise 123

AWS Machine Learning

MARCH 11, 2025

Tokens We evaluated SageMaker endpoint hosted DeepSeek-R1 distilled variants on performance benchmarks using two sample input token lengths. DeepSeek-R1-Distill-Llama-8B DeepSeek-R1-Distill-Llama-8B was benchmarked across ml.g5.2xlarge , ml.g5.12xlarge , ml.g6e.2xlarge Then we repeated the test with concurrency 10.

Metrics 71

Metrics Benchmark Enterprise Telecommunications 71

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 93

APIs Benchmark Best practices Engineering 93