AWS Machine Learning

NOVEMBER 15, 2024

All text-to-image benchmarks are evaluated using Recall@5 ; text-to-text benchmarks are evaluated using NDCG@10. Text-to-text benchmark accuracy is based on BEIR, a dataset focused on out-of-domain retrievals (14 datasets). Generic text-to-image benchmark accuracy is based on Flickr and CoCo.

Benchmark 107

Benchmark Enterprise Construction Engineering 107

AWS Machine Learning

MARCH 6, 2025

Current RAG pipelines frequently employ similarity-based metrics such as ROUGE , BLEU , and BERTScore to assess the quality of the generated responses, which is essential for refining and enhancing the models capabilities. More sophisticated metrics are needed to evaluate factual alignment and accuracy.

Metrics 86

Metrics Enterprise APIs Engineering 86

AWS Machine Learning

MARCH 27, 2025

This requirement translates into time and effort investment of trained personnel, who could be support engineers or other technical staff, to review tens of thousands of support cases to arrive at an even distribution of 3,000 per category. If the use case doesnt yield discrete outputs, task-specific metrics are more appropriate.

Education 92

Education Engineering APIs Enterprise 92

CSM Magazine

MARCH 26, 2025

Continuous education involves more than glancing at release announcements it includes testing beta features, benchmarking real world results, and actively sharing insights. Engineers versed in the OWASP Top 10 address common security weaknesses with minimal fuss. This method can save hours of coding time and avoid technical debt.

Finance 52

Finance Benchmark Enterprise Surveys 52

Joe Rawlinson

MAY 17, 2022

To get the most return out of their pay-per-click (PPC) campaign, businesses should learn which metrics to focus on and exert the most of their efforts. Now, the question is—what are the metrics and figures to benchmark for every industry? CPC is a metric that measures the cost an advertiser pays to the publisher (e.g.,

Benchmark 15

Benchmark Advertising Entertainment Real estate 15

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 127

Benchmark Metrics Enterprise APIs 127

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

JUNE 20, 2024

Additionally, evaluation can identify potential biases, hallucinations, inconsistencies, or factual errors that may arise from the integration of external sources or from sub-optimal prompt engineering. This makes it difficult to apply standard evaluation metrics like BERTScore ( Zhang et al.

Metrics 135

Metrics Engineering Accountability Benchmark 135

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 92

Best practices Metrics Sales Benchmark 92

CX Global Media

SEPTEMBER 17, 2018

They Leverage Their Data : The best performing contact centers leverage their operational and quality metrics in concert with their customer satisfaction scores and customer comments. They Avoid Benchmarking: High-performing contact center leaders do not waste a lot of time benchmarking their contact center performance.

Contact Center 113

Contact Center Benchmark Surveys Coaching 113

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. About the authors Daniel Zagyva is a Senior ML Engineer at AWS Professional Services.

Scripts 77

Scripts Metrics Engineering Accountability 77

AWS Machine Learning

FEBRUARY 8, 2023

In this option, you select an ideal value of an Amazon CloudWatch metric of your choice, such as the average CPU utilization or throughput that you want to achieve as a target, and SageMaker will automatically scale in or scale out the number of instances to achieve the target metric. However, you can use any other benchmarking tool.

Benchmark 99

Benchmark Metrics APIs Engineering 99

Hodusoft

NOVEMBER 6, 2024

Performance in a contact center refers to how effectively agents manage calls, resolve issues, and meet established benchmarks. Service Level Agreements (SLAs): Ensure compliance with SLAs, which outline expected service levels and performance metrics. Together, performance and QA form the backbone of a successful contact center.

Best practices 52

Best practices Contact Center Contact center software Abandon rate 52

AWS Machine Learning

MAY 13, 2024

In this part of the blog series, we review techniques of prompt engineering and Retrieval Augmented Generation (RAG) that can be employed to accomplish the task of clinical report summarization by using Amazon Bedrock. Prompt engineering helps to effectively design and improve prompts to get better results on different tasks with LLMs.

Healthcare 133

Healthcare Engineering APIs Benchmark 133

AWS Machine Learning

JULY 24, 2024

This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. To get started, see this guide. __ About the Authors Pawan Agarwal is the Senior Director of Software Engineering at Salesforce. Salesforce, Inc.

Engineering 128

Engineering CRM SaaS Sales 128

Totango

JULY 17, 2024

Chris Dishman Stop guessing, start growing: The customer success metrics that matter If you’re only tracking metrics like usage or churn, then you’re only seeing a small piece of the puzzle. When you track outcome-based metrics that help prove value to your customers, then you can proactively identify areas for growth and expansion.

Sales 100

Sales Metrics Accountability Benchmark 100

AWS Machine Learning

APRIL 20, 2023

Each machine learning (ML) system has a unique service level agreement (SLA) requirement with respect to latency, throughput, and cost metrics. An advanced job is a custom load test job that allows you to perform extensive benchmarks based on your ML application SLA requirements, such as latency, concurrency, and traffic pattern.

APIs 98

APIs Metrics Benchmark Engineering 98

AWS Machine Learning

APRIL 22, 2024

Figure 5 offers an overview on generative AI modalities and optimization strategies, including prompt engineering , Retrieval Augmented Generation , and fine-tuning or continued pre-training. Establish a metrics pipeline to provide insights into the sustainability contributions of your generative AI initiatives.

Best practices 137

Best practices Benchmark Transportation Engineering 137

AWS Machine Learning

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. 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.

Benchmark 94

Benchmark Engineering Banking Chatbots 94

AWS Machine Learning

FEBRUARY 24, 2025

Performance metrics and benchmarks According to Mistral, the instruction-tuned version of the model achieves over 81% accuracy on Massive Multitask Language Understanding (MMLU) with 150 tokens per second latency, making it currently the most efficient model in its category.

APIs 84

APIs Enterprise Benchmark Feedback 84

AWS Machine Learning

OCTOBER 4, 2022

With G5 instances, ML customers get high performance and a cost-efficient infrastructure to train and deploy larger and more sophisticated models for natural language processing (NLP), computer vision (CV), and recommender engine use cases. Benchmarking approach. We also study the impact of full precision vs. mixed precision.

Benchmark 87

Benchmark Engineering Metrics Technology 87

Totango

APRIL 11, 2019

An illuminated “check engine” light is scary because it doesn’t offer any solution. For many, “check engine” may as well just say “car broken”—and that’s terrifying. These categories are also represented numerically as a relative rating out of 100 based on a combination of established metric thresholds.

Metrics 90

Metrics Upselling Accountability Enterprise 90

AWS Machine Learning

JANUARY 19, 2024

The concepts illustrated in this post can be applied to applications that use PLM features, such as recommendation systems, sentiment analysis, and search engines. The performance of the architecture is typically measured using metrics such as validation loss. training.py ).

Metrics 126

Metrics Scripts Benchmark Enterprise 126

AWS Machine Learning

MAY 30, 2023

Benchmarks We benchmarked evaluation metrics to ensure that the model quality didn’t deteriorate with the multi-GPU training path compared to single-GPU training. We also benchmarked on large datasets to ensure that our distributed GPU setups were performant and scalable. 8xlarge 15 1679 15.22 17 1509 15.51 19 1326 15.22

Benchmark 97

Benchmark Metrics Engineering Enterprise 97

ChurnZero

AUGUST 25, 2021

It will help you set benchmarks to get a clear picture of your performance with your customers. A Net Promoter Score (NPS) is a customer satisfaction benchmark that measures how likely your customers are to recommend you to a friend or colleague. Keeping track of this metric can also help reduce support possibly needed in the future.

Journey mapping 98

Journey mapping Benchmark Feedback Metrics 98

AWS Machine Learning

NOVEMBER 22, 2023

As data and system conditions change, the model performance and efficiency metrics are tracked to ensure retraining is performed when needed. Your organization can choose the retraining mechanism—it can be quarterly, monthly, or based on science metrics, such as when accuracy drops below a given threshold.

APIs 117

APIs Metrics Benchmark Enterprise 117

AWS Machine Learning

JUNE 17, 2024

PrestoDB is an open source SQL query engine that is designed for fast analytic queries against data of any size from multiple sources. For more information on the TPC-H data, its database entities, relationships, and characteristics, refer to TPC Benchmark H. Twilio needed to implement an MLOps pipeline that queried data from PrestoDB.

Scripts 121

Scripts Engineering Metrics Big data 121

AWS Machine Learning

MAY 7, 2024

Rather than requiring extensive feature engineering and dataset labeling, LLMs can be fine-tuned on small amounts of domain-specific data to quickly adapt to new use cases. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

Engineering 122

Engineering Chatbots Technical Support Best practices 122

ChurnZero

MARCH 31, 2023

If the vendor has been smart enough to collect aggregate data about how its customers use the product or service, it can also offer useful benchmark metrics to bolster that guidance.” Among companies that do measure the experience, those metrics rarely connect with the sales process.” A case in point?

Benchmark 98

Benchmark B2B Accountability Consulting 98

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

AUGUST 3, 2022

To showcase how this reduction can help you getting started with the creation of a custom entity recognizer, we ran some tests on a few open-source datasets and collected performance metrics. In this post, we walk you through the benchmarking process and the results we obtained while working on subsampled datasets. Dataset preparation.

Benchmark 87

Benchmark APIs Metrics Scripts 87

AWS Machine Learning

MARCH 30, 2023

Benchmarking and evaluating the Snapper tool In practice, we find that the Snapper tool streamlines the bounding box annotation task and is very intuitive for users to pick up. Here, we apply these metrics to the validation set from the official MS-COCO dataset used for training. The following table summarizes our findings.

Engineering 97

Engineering Metrics Benchmark Advertising 97

AWS Machine Learning

AUGUST 26, 2024

This involves benchmarking new models against our current selections across various metrics, running A/B tests, and gradually incorporating high-performing models into our production pipeline. As new models become available on Amazon Bedrock, we have a structured evaluation process in place.

Sales 126

Sales Accountability Feedback Metrics 126

AWS Machine Learning

JUNE 13, 2023

This post is co-written with Jad Chamoun, Director of Engineering at Forethought Technologies, Inc. and Salina Wu, Senior ML Engineer at Forethought Technologies, Inc. Forethought had to manage model inference on Amazon EKS ourselves, which was a burden on engineering efficiency. 2xlarge instances. seconds Large (550 tokens) 12.7

APIs 84

APIs Benchmark Engineering Management 84

AWS Machine Learning

MAY 29, 2024

The prospect of fine-tuning open source multimodal models like LLaVA are highly appealing because of their cost effectiveness, scalability, and impressive performance on multimodal benchmarks. The following is an example metric definition that logs training loss at each epoch, the model’s learning rate, and training throughput.

Scripts 131

Scripts Healthcare Metrics Finance 131

AWS Machine Learning

APRIL 8, 2024

In this post, we explore the latest features introduced in this release, examine performance benchmarks, and provide a detailed guide on deploying new LLMs with LMI DLCs at high performance. TensorRT-LLM requires models to be compiled into efficient engines before deployment. For more details, refer to the GitHub repo.

Engineering 111

Engineering Calibration APIs Enterprise 111

AWS Machine Learning

NOVEMBER 1, 2024

We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics. The evaluation metric is the F1 score that measures the word-to-word matching of the extracted content between the generated output and the ground truth answer.

Best practices 96

Best practices APIs Finance Engineering 96