Hodusoft

NOVEMBER 6, 2024

” He gives the example of Apple’s products, which are noted for their beautiful design, functionalities, and aesthetics. Performance in a contact center refers to how effectively agents manage calls, resolve issues, and meet established benchmarks. Drexler said, “I’m looking for best practices constantly.”

Best practices 52

Best practices Contact Center Contact center software Abandon rate 52

TeleDirect

OCTOBER 23, 2023

That’s where a customer service script comes into play. Call handling scripts outline the customer’s journey and prompt the person representing your company to create a memorable and consistent interaction with a client, customer or business associate. One simple example, “Thank you for calling (name of company).

Scripts 62

Scripts Personalization Customer Service Call Center 62

AWS Machine Learning

AUGUST 7, 2024

In our example, the organization is willing to approve a model for deployment if it passes their checks for model quality, bias, and feature importance prior to deployment. For this example, we provide a centralized model. You can create and run the pipeline by following the example provided in the following GitHub repository.

Government 113

Government Benchmark Scripts Enterprise 113

AWS Machine Learning

MARCH 27, 2025

We also showcase a real-world example for predicting the root cause category for support cases. For the use case of labeling the support root cause categories, its often harder to source examples for categories such as Software Defect, Feature Request, and Documentation Improvement for labeling than it is for Customer Education.

Education 101

Education Engineering APIs Enterprise 101

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. For example, instead of simply asking the model to describe the image, ask specific questions about the image and relating to its content.

Scripts 123

Scripts Healthcare Metrics Finance 123

AWS Machine Learning

APRIL 26, 2024

When you select the option to use the SDK, you will see example code that you can use in the notebook editor of your choice in SageMaker Studio. In this section, we provide some example prompts and sample output. Code generation DBRX models demonstrate benchmarked strengths for coding tasks.

Transportation 119

Transportation Scripts Accountability Benchmark 119

Calabrio

MARCH 27, 2025

For example, if a customer is waiting in line to speak with an agent for 30 minutes, that number isnt figured into the final AHT. Setting an Average Handle Time Benchmark: What is a Good AHT? For example, a caller may be asked On a scale of one to ten, how likely are you to recommend to a friend?

Average Handle Time 52

Average Handle Time Best practices Contact Center Metrics 52

AWS Machine Learning

NOVEMBER 30, 2023

For example, for PyTorch this would be a model.pth. Note that your model artifacts also include an inference script for preprocessing and postprocessing. If you don’t provide an inference script, the default inference handlers for the container you have chosen will be implemented.

Benchmark 122

Benchmark APIs Scripts Engineering 122

Talkdesk

MAY 12, 2020

It would also be helpful to give new hires information on which KPIs managers will assess, how these are tied to performance evaluations, and practical tips on how to hit their KPI benchmarks. Allow them to listen to recordings and also provide online scripts. Choose recordings that will help you demonstrate a specific point (i.e.,

Contact Center 119

Contact Center Schedule adherence At home agents Scripts 119

AWS Machine Learning

JUNE 17, 2024

The following code shows an example of how a query is configured within the config.yml file. For more information on the TPC-H data, its database entities, relationships, and characteristics, refer to TPC Benchmark H. The sklearn_processor is used in the ProcessingStep to run the scikit-learn script that preprocesses data.

Scripts 116

Scripts Engineering Metrics Big data 116

Totango

JUNE 24, 2022

For example, a B2C customer might prioritize user experience, while a B2B client might emphasize return on investment. SaaS success outcomes can be defined in terms of measurable digital benchmarks. For example, a customer who is slow to complete the onboarding process can be sent an email prompt with a link to tutorial tips.

Best practices 109

Best practices SaaS Journey mapping B2C 109

AWS Machine Learning

MAY 3, 2023

We have seen a similar trend in the price-performance advantage for other workloads on Graviton, for example video encoding with FFmpeg. wheels and set the previously mentioned environment variables # Clone PyTorch benchmark repo git clone [link] # Setup Resnet50 benchmark cd benchmark python3 install.py

Benchmark 95

Benchmark Best practices Scripts Management 95

AWS Machine Learning

MARCH 13, 2024

You will also find a Deploy button, which takes you to a landing page where you can test inference with an example payload. Deploy Gemma with SageMaker Python SDK You can find the code showing the deployment of Gemma on JumpStart and an example of how to use the deployed model in this GitHub notebook. This looks pretty good!

Benchmark 126

Benchmark Scripts APIs Feedback 126

Up Your Service

OCTOBER 19, 2015

For example, establishing expected follow-up time and communications format when an IT department responds to a technical support call. In such cases, standards provide a useful benchmark, especially for new employees learning how to do the job. Consider this example. Standards can also support your brand.

Technical Support 106

Technical Support Education Scripts Benchmark 106

AWS Machine Learning

FEBRUARY 12, 2025

If youre running this code using an Amazon SageMaker notebook instance, edit the IAM role thats attached to the notebook (for example, AmazonSageMaker-ExecutionRole-XXX) instead of creating a new role. The following table shows an example. preference) and the fine-tuned model with original 500 examples (76.4% preference).

APIs 75

APIs Management Benchmark Scripts 75

AWS Machine Learning

MARCH 20, 2023

In the following example figure, we show INT8 inference performance in C6i for a BERT-base model. 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.

Calibration 89

Calibration Scripts Benchmark APIs 89

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. For example, consider a powerful GPU instance type, ml.p4d.24xlarge For example, if you’re training the model on ml.trn1.32xlarge, ml.p4d.24xlarge,

Scripts 80

Scripts Benchmark Metrics Transportation 80

AWS Machine Learning

AUGUST 18, 2022

The team’s early benchmarking results show 7.3 The baseline model used in these benchmarking is a multi-layer perceptron neural network with seven dense fully connected layers and over 200 parameters. The following table summarizes the benchmarking result on ml.p3.16xlarge SageMaker training instances. Number of Instances.

Scripts 91

Scripts APIs Benchmark Engineering 91

AWS Machine Learning

MAY 22, 2024

For example, a product that has a description that includes words such as “long sleeve” and “cotton neck” will be returned if a consumer is looking for a “long sleeve cotton shirt.” To fine-tune our model, we need to convert our structured examples into a collection of question and answer pairs. We prepared entrypoint_vqa_finetuning.py

Scripts 128

Scripts Engineering Accountability Benchmark 128

AWS Machine Learning

FEBRUARY 1, 2023

The Neuron SDK is the software stack that provides the driver, compiler, runtime, framework integration (for example, PyTorch Neuron), and user tools that allow you to access the benefits of the Trainium accelerators. For example: apiVersion: eksctl.io/v1alpha5 An ECR repository is used to store the training container images.

Scripts 97

Scripts Benchmark Management Enterprise 97

AWS Machine Learning

JULY 26, 2023

We have examples available for Stable Diffusion 2.1 This notebook presents an end-to-end example of how to compile a Stable Diffusion model, save the compiled Neuron models, and load it into the runtime for inference. The emb tensor is used as example input for the torch_neuronx.trace function. model on the GitHub repo.

Scripts 91

Scripts APIs Benchmark Engineering 91

AWS Machine Learning

JULY 26, 2023

We’ll cover fine-tuning your foundation models, evaluating recent techniques, and understanding how to run these with your scripts and models. All of the example notebooks and supporting code will ship in a public repository, which you can use to step through on your own. Want to jump right into the code?

Scripts 92

Scripts Engineering Benchmark Best practices 92

AWS Machine Learning

APRIL 12, 2023

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. This is quite different from our earlier method where we had all the parameters hard coded within the scripts and all the processes were inextricably linked.

Scripts 96

Scripts APIs Metrics Best practices 96

AWS Machine Learning

FEBRUARY 16, 2023

In this post, we use a Hugging Face BERT-Large model pre-training workload as a simple example to explain how to useTrn1 UltraClusters. The following diagram shows an example. You can invoke neuron-top during the training script run to inspect NeuronCore utilization at each node. Complete instructions can be found on GitHub.

Scripts 95

Scripts Benchmark APIs Engineering 95

AWS Machine Learning

MAY 10, 2023

We cover computer vision (CV), natural language processing (NLP), classification, and ranking scenarios for models and ml.c6g, ml.c7g, ml.c5, and ml.c6i SageMaker instances for benchmarking. You can use the sample notebook to run the benchmarks and reproduce the results. Create an endpoint configuration.

Benchmark 90

Benchmark Best practices Engineering Scripts 90

AWS Machine Learning

JANUARY 10, 2023

We first benchmark the performance of our model on a single instance to identify the TPS it can handle per our acceptable latency requirements. The entire set of code for the example is available in the following GitHub repository. Overview of solution. For CPUUtilization , you may see percentages above 100% at first in CloudWatch.

Best practices 84

Best practices Scripts APIs Metrics 84

AWS Machine Learning

NOVEMBER 17, 2022

It can be applied even when there are only a few available training examples, or even none at all. AlexaTM 20B has shown competitive performance on common natural language processing (NLP) benchmarks and tasks, such as machine translation, data generation and summarization. This is known as in-context learning.

Scripts 101

Scripts APIs Government Engineering 101

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. You can find more SMDDP examples with sharded data parallel training in the Amazon SageMaker Examples GitHub repository.

Benchmark 102

Benchmark Engineering Scripts Metrics 102

Help Scout

JULY 13, 2021

Read Email Response Times: Benchmarks and Tips for Support for practical advice. It was the bots that seemed to offer help but failed to deliver it, like this Flowxo example: Be the best bot you can be: Look for alternatives to chat bots that will still meet your customer service goals. You’ll spot the rough edges more easily.

Customer Service 137

Customer Service Scripts Chatbots Airlines 137

AWS Machine Learning

OCTOBER 31, 2022

For example, 8 V100 GPUs (32GB each) are sufficient to hold the model states replica of a 10B-parameter model which needs about 200GB of memory when training with Adam optimizer using mixed-precision. To get started, follow Modify a PyTorch Training Script to adapt SMPs’ APIs in your training script. Benchmarking performance.

Scripts 74

Scripts Benchmark APIs Engineering 74

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 82

APIs Scripts Metrics Benchmark 82

AWS Machine Learning

SEPTEMBER 26, 2024

Furthermore, as clusters scale to larger sizes (for example, more than 32 nodes), they require built-in resiliency mechanisms such as automated faulty node detection and replacement to improve cluster goodput and maintain efficient operations. For example, when working with a smaller backbone model like Stable Diffusion 1.5,

Scripts 113

Scripts APIs Metrics Management 113

Comm100

JULY 5, 2022

For a university or college, for example, intents might include: . For example, a student wishing to pay fees might say “I’d like to pay my bill” or ask, “how can I pay my tuition online?” Over time, your chatbot will learn to correctly identify new examples of each intent outside of the original programming.

Chatbots 98

Chatbots Benchmark Scripts Customer Service 98

AWS Machine Learning

APRIL 22, 2024

To achieve this multi-user environment, you can take advantage of Linux’s user and group mechanism and statically create multiple users on each instance through lifecycle scripts. For Directory DNS name , enter your preferred directory DNS name (for example, hyperpod.abc123.com For Directory type , select AWS Managed Microsoft AD.

Scripts 106

Scripts Engineering Management Benchmark 106

AWS Machine Learning

JANUARY 19, 2024

One example is an online retailer who deploys a large number of inference endpoints for text summarization, product catalog classification, and product feedback sentiment classification. We use the Recognizing Textual Entailment dataset from the GLUE benchmarking suite. Choose System terminal under Utilities and files. training.py ).

Metrics 116

Metrics Scripts Benchmark Enterprise 116

GetFeedback

AUGUST 14, 2019

See the example below. Flip the script on your results and use that as a motivator. After inbound sales calls, for example, prospects can share how satisfied they were with the conversation. For example, a journey map may identify customers feel their invoices are too long and hard to understand. Ways to use CSAT .

Metrics 109

Metrics Journey mapping Surveys Coaching 109

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 80

Scripts APIs Benchmark Management 80