AWS Machine Learning

FEBRUARY 12, 2025

We also included a data exploration script to analyze the length of input and output tokens. For demonstration purposes, we select 3,000 samples and split them into train, validation, and test sets. You need to run the Load and prepare the dataset section of the medusa_1_train.ipynb to prepare the dataset for fine-tuning.

Scripts 76

Scripts Metrics Engineering Accountability 76

AWS Machine Learning

AUGUST 7, 2024

The SageMaker approval pipeline evaluates the artifacts against predefined benchmarks to determine if they meet the approval criteria. You can either have a manual approver or set up an automated approval workflow based on metrics checks in the aforementioned reports. We now explore this script in more detail.

Government 117

Government Benchmark Scripts Enterprise 117

Interaction Metrics

APRIL 24, 2025

Introduced by Matt Dixon and Corporate Executive Board (CEB) in 2010, CES is now a core metric in many customer experience programs. Interaction Metrics is a leading survey company. Weve seen how strategically measuring your customer effort score can reveal moments of struggle that other metrics miss. One question. One number.

Customer effort 48

Customer effort Metrics Surveys Self service 48

Spearline

JULY 21, 2022

Consequently, no other testing solution can provide the range and depth of testing metrics and analytics. And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. Happy days! You can check framerate information for video here too.

Scripts 98

Scripts APIs Metrics Analytics 98

Quality Contact Solutions

OCTOBER 25, 2021

By Marcia Jenkins, Senior Operations Manager According to the 2021 Membership Marketing Benchmark report, it has been a challenging year for association membership. Scripting: The key to ensuring the long-term effectiveness of your outbound telemarketing script may be to eliminate the “script.” Is it failing?

Telemarketing 98

Telemarketing Scripts Benchmark Upselling 98

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. It sets up a SageMaker training job to run the custom training script from LLaVA. For full parameter fine-tuning, ml.p4d.24xlarge

Scripts 132

Scripts Healthcare Metrics Finance 132

AWS Machine Learning

JANUARY 10, 2023

From there, we dive into how you can track and understand the metrics and performance of the SageMaker endpoint utilizing Amazon CloudWatch metrics. We first benchmark the performance of our model on a single instance to identify the TPS it can handle per our acceptable latency requirements. Metrics to track.

Best practices 96

Best practices Scripts APIs Metrics 96

AWS Machine Learning

APRIL 12, 2023

All the training and evaluation metrics were inspected manually from Amazon Simple Storage Service (Amazon S3). The code to invoke the pipeline script is available in the Studio notebooks, and we can change the hyperparameters and input/output when invoking the pipeline.

Scripts 106

Scripts APIs Metrics Best practices 106

AWS Machine Learning

JUNE 17, 2024

For more information on the TPC-H data, its database entities, relationships, and characteristics, refer to TPC Benchmark H. We use a preprocessing script to connect and query data from a PrestoDB instance using the user-specified SQL query in the config file. For more information on processing jobs, see Process data.

Scripts 121

Scripts Engineering Metrics Big data 121

Fonolo

DECEMBER 15, 2022

The Executive Guide to Improving 6 Contact Center Metrics. Keep them up to date on new policies, best customer support practices, adjustments to the call center script, and more. As a contact center leader, it’s easy to get caught up in high-level metrics and reports. Improve the Customer Journey.

Call Center 138

Call Center Contact center software Abandon rate Self service 138

AWS Machine Learning

FEBRUARY 6, 2023

The former question addresses model selection across model architectures, while the latter question concerns benchmarking trained models against a test dataset. This post provides details on how to implement large-scale Amazon SageMaker benchmarking and model selection tasks. swin-large-patch4-window7-224 195.4M efficientnet-b5 29.0M

APIs 94

APIs Scripts Metrics Benchmark 94

Totango

JUNE 24, 2022

The digital nature of SaaS customer experience means that success outcomes are defined primarily in terms of digital, measurable key performance indicators, such as product usage metrics. SaaS success outcomes can be defined in terms of measurable digital benchmarks. Onboarding metrics, such as average time-to-value.

Best practices 109

Best practices SaaS Journey mapping B2C 109

AWS Machine Learning

JANUARY 19, 2024

The goal of NAS is to find the optimal architecture for a given problem by searching over a large set of candidate architectures using techniques such as gradient-free optimization or by optimizing the desired metrics. The performance of the architecture is typically measured using metrics such as validation loss. training.py ).

Metrics 127

Metrics Scripts Benchmark Enterprise 127

Spearline

AUGUST 26, 2022

Well, good news; at Spearline, we have a powerful scheduling tool that will execute test scripts in front of your WebRTC application at any interval throughout the day and night, alerting you to issues before your users even notice. Is your beauty sleep interrupted with nightmares of bad user experiences throughout the week?

Scripts 98

Scripts Benchmark Metrics Contact Center 98

Balto

JANUARY 17, 2025

Youre dealing with metrics and KPIs, sure, but also human emotions, tech stacks, and rapidly evolving customer expectations. Monitoring call center performance metrics is crucial for ensuring smooth customer interactions and motivated agents. Key Focus Areas: Setting KPIs and performance benchmarks. Flip the script.

Best practices 52

Best practices Call Center Metrics Management 52

Balto

JANUARY 18, 2025

Youre dealing with metrics and KPIs, sure, but also human emotions, tech stacks, and rapidly evolving customer expectations. Monitoring call center performance metrics is crucial for ensuring smooth customer interactions and motivated agents. Key Focus Areas: Setting KPIs and performance benchmarks. Flip the script.

Best practices 52

Best practices Call Center Metrics Management 52

Balto

JANUARY 21, 2025

Thats where call center agent performance metrics come in. When the right metrics are tracked and acted upon, the results are undeniable. Lets explore how these performance metrics provide the foundation for a thriving call center and set you up to exceed both customer and business goals. But how do you measure success?

Metrics 52

Metrics Call Center Abandon rate Average Handle Time 52

AWS Machine Learning

OCTOBER 27, 2022

Our benchmarks show up to 46% price performance benefit after enabling heterogeneous clusters in a CPU-bound TensorFlow computer vision model training. Performance benchmark results. The quick way to identify a CPU bottleneck is to monitor CPU and GPU utilization metrics for SageMaker training jobs in Amazon CloudWatch.

Scripts 92

Scripts Benchmark Metrics Transportation 92

Balto

JANUARY 2, 2025

Thats where call center agent performance metrics come in. When the right metrics are tracked and acted upon, the results are undeniable. Lets explore how these performance metrics provide the foundation for a thriving call center and set you up to exceed both customer and business goals. But how do you measure success?

Metrics 52

Metrics Call Center Abandon rate Average Handle Time 52

Calltools

FEBRUARY 16, 2022

It may sound complicated, but a fairly simple set of KPI metrics can help you measure your lead source ROI. The most important KPI metrics for monitoring your lead source ROI are: Cost per Acquisition. There is no benchmark that determines whether your CPA is good enough or not. Sales script that needs improvement.

Metrics 52

Metrics Scripts Sales CRM 52

Calabrio

APRIL 24, 2025

Reporting & Visualization: Results are aggregated and presented in dashboards and reports, providing insights into individual agent performance, team trends, compliance adherence, and overall customer experience metrics. Measure performance based on targets that are aligned to your standards and benchmarks.

Quality management 52

Quality management Customer Experience Management Coaching 52

AWS Machine Learning

DECEMBER 5, 2023

In this post, we show a high-level overview of how SMDDP works, how you can enable SMDDP in your Amazon SageMaker training scripts, and the performance improvements you can expect. Below is a sample result on 32 p4d instances comparing NCCL and SMDDP AllGather. 24xlarge nodes (512 NVIDIA A100 GPUs) PyTorch FSDP 97.89

Benchmark 114

Benchmark Engineering Scripts Metrics 114

JustCall

JULY 23, 2020

In this blog, we'll run you through all the important sales metrics and KPIs you need to assess for optimum results. . Measuring your sales metrics and KPIs is a healthy exercise for improving overall sales performance. But, weighing every other metric under the sun means you're in for a waste of your precious time.

Sales 52

Sales Metrics Upselling Benchmark 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 90

Benchmark APIs Metrics Scripts 90

AWS Machine Learning

MARCH 20, 2023

Refer to the appendix for instance details and benchmark data. Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. Benchmark data The following table compares the cost and relative performance between c5 and c6 instances.

Calibration 97

Calibration Scripts Benchmark APIs 97

AWS Machine Learning

SEPTEMBER 26, 2024

The method is trained on a dataset of video clips and achieves state-of-the-art results on fashion video and human dance synthesis benchmarks, demonstrating its ability to animate arbitrary characters while maintaining appearance consistency and temporal stability. The implementation of AnimateAnyone can be found in this repository.

Scripts 119

Scripts APIs Metrics Management 119

AWS Machine Learning

NOVEMBER 16, 2022

The deployments are done using bash scripts, and in this case we use the following command: bash malware_detection_deployment_scripts/deploy.sh -s ' ' -b 'malware- detection- -artifacts' -p -r " " -a. When the training models are complete, you can access the evaluation metrics by selecting Check metrics on the model page.

Scripts 97

Scripts Metrics Accountability Benchmark 97

AWS Machine Learning

JULY 29, 2024

SageMaker Canvas offers up to 50% faster model building performance and up to 45% quicker predictions on average for time series models compared to Forecast across various benchmark datasets. Python script – Use a Python script to merge the datasets.

APIs 113

APIs Scripts Benchmark Metrics 113

Outsource Consultants

JANUARY 27, 2025

At Outsource Consultants, we understand the pivotal role these metrics play in driving success and enhancing customer experiences. By focusing on these essential metrics, contact centers can optimize their operations and deliver outstanding service. Train agents on the impact of these metrics.

Contact Center 67

Contact Center Abandon rate Average Handle Time outsourcing 67

AWS Machine Learning

FEBRUARY 1, 2023

These images contain the Neuron SDK (excluding the Neuron driver, which runs directly on the Trn1 instances), PyTorch training script, and required dependencies. Create a training container image Next, we need to create a training container image that includes the PyTorch training script along with any dependencies.

Scripts 98

Scripts Benchmark Management Enterprise 98

AWS Machine Learning

JUNE 29, 2022

Syne Tune allows us to find a better hyperparameter configuration that achieves a relative improvement between 1-4% compared to default hyperparameters on popular GLUE benchmark datasets. training script. We might also care about other objectives, such as training time, (dollar) cost, latency, or fairness metrics.

Benchmark 99

Benchmark Metrics APIs Scripts 99

AWS Machine Learning

MARCH 27, 2025

Where discrete outcomes with labeled data exist, standard ML methods such as precision, recall, or other classic ML metrics can be used. These metrics provide high precision but are limited to specific use cases due to limited ground truth data. If the use case doesnt yield discrete outputs, task-specific metrics are more appropriate.

Education 109

Education Engineering APIs Enterprise 109

AWS Machine Learning

SEPTEMBER 20, 2022

Even if you already have a pre-trained model, it may still be easier to use its corollary in SageMaker and input the hyperparameters you already know rather than port it over and write a training script yourself. The training and inference scripts for the selected model or algorithm.

Scripts 92

Scripts Metrics Telecommunications Benchmark 92

Outsource Consultants

FEBRUARY 5, 2025

How to Maximize Outsourced Outbound Call Center Performance Set Clear Performance Metrics Effective management of an outsourced outbound call center requires specific, measurable goals. Set realistic targets based on industry benchmarks and your business objectives. Advanced analytics tools to optimize scripts and measure performance.

outsourcing 67

outsourcing Call Center Sales Gamification 67

AWS Machine Learning

JUNE 6, 2023

The following figure shows a performance benchmark of fine-tuning a RoBERTa model on Amazon EC2 p4d.24xlarge inference with AWS Graviton processors for details on AWS Graviton-based instance inference performance benchmarks for PyTorch 2.0. Run your DLC container with a model training script to fine-tune the RoBERTa model.

Scripts 92

Scripts APIs Benchmark Management 92

Infinity

MAY 9, 2022

Metrics are the most effective way of monitoring and measuring the performance of your contact centres. Tracking the right metrics can unlock a wealth of insights that will make your call centre operations more effective than ever. How can call centres improve metrics? What are the call centre metrics that need to be tracked?

Metrics 52

Metrics Abandon rate Average Handle Time Analytics 52

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. Task completion rate – This measures the success rate of the agent.

Best practices 98

Best practices APIs Metrics Accountability 98