AWS Machine Learning

FEBRUARY 29, 2024

The framework code and examples presented here only cover model training pipelines, but can be readily extended to batch inference pipelines as well. You can then iterate on preprocessing, training, and evaluation scripts, as well as configuration choices. script is used by pipeline_service.py The model_unit.py

Scripts 86

Scripts Engineering Metrics Best practices 86

Quiq

SEPTEMBER 30, 2022

It’s best to segment customers or specific customer journeys (for example, the journey through purchasing online goods vs. in-store services) to narrow how each group interacts with your brand. Here’s an example of a narrow-focused current state customer journey map from Spotify. Why should you create a customer journey map?

Journey mapping 82

Journey mapping Sales Scripts Chatbots 82

Beyond Philosophy

FEBRUARY 8, 2024

That said, I am not an advocate of scripts in customer interactions. Scripted responses are noticeable to the point of being awkward at times. For example, families, communities, or even geographic areas will often use similar language and phrases that they hear from others in the same grouping. I felt that way, too.

Scripts 195

Scripts Consulting Consulting Personalization 195

AWS Machine Learning

FEBRUARY 8, 2024

The code and resources required for deployment are available in the amazon-bedrock-examples repository. The following are some example prompts: Create a new claim. This method allows you to enhance the model’s performance by providing labeled examples associated with a particular task. Gather evidence for claim 5t16u-7v.

APIs 114

APIs Scripts Enterprise Management 114

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. With the directory service, you can centrally maintain users and groups, and their permissions.

Scripts 81

Scripts Engineering Management Benchmark 81

AWS Machine Learning

DECEMBER 7, 2022

This post shows how Amazon SageMaker enables you to not only bring your own model algorithm using script mode, but also use the built-in HPO algorithm. We walk through the following steps: Use SageMaker script mode to bring our own model on top of an AWS-managed container. We use the MNIST dataset for this example.

Scripts 69

Scripts Metrics Healthcare Accountability 69

AWS Machine Learning

MAY 16, 2024

The data preprocessing batches were created by writing a shell script to run Amazon EMR through AWS Command Line Interface (AWS CLI) commands, which we registered to Airflow to run at specific intervals. xlarge","Name":"Master Instance Group"},{"InstanceCount":2,"InstanceGroupType":"CORE","InstanceType":"r5.xlarge","Name":"Core

Personalization 88

Personalization APIs Scripts Technical Support 88

AWS Machine Learning

MAY 23, 2024

For example, to shard your model while using an instance with 8 GPUs, you can set the expert_parallel_degree to 2, 4, or 8. To understand how this works, consider an MoE model in the following example with eight experts (N=8) training on a simple cluster with one node containing 4 GPUs. In this example, we use SageMaker training jobs.

APIs 100

APIs Engineering Scripts Construction 100

AWS Machine Learning

SEPTEMBER 20, 2023

For example, you might have acquired a company that was already running on a different cloud provider, or you may have a workload that generates value from unique capabilities provided by AWS. For a complete list of the pre-built Docker images managed by SageMaker, see Docker Registry Paths and Example Code.

Scripts 93

Scripts Engineering Accountability Enterprise 93

Dialer 360

MAY 17, 2023

Mass tort campaigns have emerged as a powerful means to fight for justice and compensation on behalf of a large group of individuals who have suffered harm from the actions or negligence of corporations. Here are Some Mass Tort Campaign Scripts Examples Every mass tort campaign script customizes according to the case type.

Scripts 26

Scripts Automotive Advertising Accountability 26

AWS Machine Learning

FEBRUARY 13, 2024

For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. Features are inputs to ML models used during training and inference.

Accountability 98

Accountability Government Engineering Scripts 98

VirtualPBX

MAY 16, 2024

You may think of cold call sales when you think of outbound calls, but outbound calling is just one example of a proactive interaction with your customer base, where inbound calling is reactive. Below are some examples of popular uses for outbound calling. Here, we’re going to focus specifically on outbound calling.

Telemarketing 106

Telemarketing virtual call center call center professionals Technical Support 106

AWS Machine Learning

MARCH 19, 2024

However, complex NLQs, such as time series data processing, multi-level aggregation, and pivot or joint table operations, may yield inconsistent Python script accuracy with a zero-shot prompt. After the similarity search, the top similar examples, including NLQ questions, data schema, and Python codes, are inserted in a custom prompt.

Construction 108

Construction Scripts APIs Enterprise 108

AWS Machine Learning

DECEMBER 21, 2022

Depending on the design of your feature groups and their scale, you can experience training query performance improvements of 10x to 100x by using this new capability. SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Creating feature groups using Iceberg table format.

Scripts 71

Scripts Engineering APIs Big data 71

AWS Machine Learning

FEBRUARY 1, 2023

Inside the EKS cluster is a node group consisting of two or more trn1.32xlarge Trainium-based instances residing in the same Availability Zone. These images contain the Neuron SDK (excluding the Neuron driver, which runs directly on the Trn1 instances), PyTorch training script, and required dependencies. Lastly, the launchTemplate.id

Scripts 89

Scripts Benchmark Management Enterprise 89

AWS Machine Learning

OCTOBER 5, 2023

We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw. Compared to Llama 1, Llama 2 doubles context length from 2,000 to 4,000, and uses grouped-query attention (only for 70B).

Scripts 91

Scripts Big data Engineering SaaS 91

AWS Machine Learning

OCTOBER 27, 2022

For example, consider a powerful GPU instance type, ml.p4d.24xlarge The following figure is one such example from CloudWatch metrics, where CPU is approximately 100% utilized, indicating a CPU bottleneck, whereas GPU is underutilized. For example, if you’re training the model on ml.trn1.32xlarge, ml.p4d.24xlarge,

Scripts 67

Scripts Benchmark Metrics Transportation 67

AWS Machine Learning

NOVEMBER 15, 2023

For example, it can scale the data, perform univariate feature selection, conduct PCA at different variance threshold levels, and apply clustering. For this example, you don’t use a specialized dataset; instead, you work with the California Housing dataset that you will import from Amazon Simple Storage Service (Amazon S3).

Scripts 82

Scripts Best practices Accountability Engineering 82

Hodusoft

APRIL 17, 2024

In this blog post, we will discuss everything about auto attendants starting from what they are, how they work, the pros and cons of using auto attendants, how to set up an auto attendant, and how to include scripts. Pros of Using Auto Attendant Cons of Auto Attendant Auto Attendant Scripts – What to Record? Read on to know more.

Real estate 52

Real estate Scripts Interactive Voice Response First call resolution 52

AWS Machine Learning

APRIL 1, 2024

Most of the details will be abstracted by the automation scripts that we use to run the Llama2 example. We use the following code references in this use case: End-to-end fsdp example Llama-recipes example What is Llama2? The example will also work with a pre-existing EKS cluster. Cluster with p4de.24xlarge

Scripts 97

Scripts Engineering Metrics Management 97

AWS Machine Learning

JANUARY 16, 2024

Next, we create custom inference scripts. Within these scripts, we define how the model should be loaded and specify the inference process. With the model artifacts, custom inference scripts and selected DLCs, we’ll create Amazon SageMaker models for PyTorch and Hugging Face respectively. In the custom inference.py

Scripts 95

Scripts Metrics Best practices Accountability 95

AWS Machine Learning

SEPTEMBER 7, 2023

We also discuss some common design scenarios and patterns when building SageMaker Pipelines and provide examples for addressing them. Similarly, if you don’t explicitly specify a trial name, a pipeline run ID is used for the trial or run group name. See the following code: Pipeline( name="MyPipeline", parameters=[.],

Best practices 88

Best practices Scripts Construction APIs 88

Callminer

APRIL 21, 2020

Since many call centers record conversations, this is an excellent opportunity for leaders to highlight strong examples of excellent customer service to share with the rest of their team. Good scripting can lessen the amount of decision making, but another way to counteract. Lead by example.

Call Center 182

Call Center Management Scripts Coaching 182

AWS Machine Learning

MARCH 2, 2023

Set up an EKS cluster with a scalable file system One way to get started with Amazon EKS is aws-do-eks , which is an open-source project offering easy-to-use and configurable scripts and tools to provision EKS clusters and run distributed training jobs. will scale your node groups to the desired sizes. eks-create.sh eks-create.sh

Scripts 73

Scripts Engineering Metrics Transportation 73

AWS Machine Learning

MARCH 15, 2023

SageMaker runs the legacy script inside a processing container. SageMaker takes your script, copies your data from Amazon Simple Storage Service (Amazon S3), and then pulls a processing container. The SageMaker Processing job sets up your processing image using a Docker container entrypoint script. and postprocessing.py.

Scripts 117

Scripts APIs Engineering Construction 117

ShepHyken

MARCH 6, 2020

A perfect example of how everyone makes a difference is when I was in a Nashville hotel attending a Board of Directors meeting for the National Speakers Association. If we give you good service, your group will bring back its business here and not to the competition.”. A second hotel example. These guys are big tippers,” I said.

Customer Service 311

Customer Service Coaching Advertising Scripts 311

AWS Machine Learning

APRIL 7, 2023

As an example, smart venue solutions can use near-real-time computer vision for crowd analytics over 5G networks, all while minimizing investment in on-premises hardware networking equipment. The following diagram shows an example of this architecture. To do so, deploy an Amazon EKS cluster with an AWS Wavelength node group.

Telecommunications 77

Telecommunications Scripts Enterprise Engineering 77

Integrity Solutions

APRIL 19, 2024

Put another way, personalization is the opposite of operating from scripts and responding with cookie-cutter answers. There’s no value for them in listening to salesperson recite scripted features and benefits — they’ve already read all of that on the website or in other marketing materials.

Personalization 105

Personalization Sales Scripts Contact Center 105

Callminer

APRIL 24, 2020

In essence, this structured interview process allows a group of candidates to work through tasks and assessments; it also gives those in charge of hiring the opportunity to select the best performers in the group and train them together to become new call center agents. Leverage Call Monitoring & Scoring.

Best practices 182

Best practices Call Center Coaching Schedule adherence 182

AWS Machine Learning

AUGUST 29, 2023

Terraform is used to create additional resources such as EventBridge rules, Lambda functions, and SNS topics for monitoring SageMaker pipelines and sending notifications (for example, when a pipeline step fails or succeeds). SageMaker Pipelines serves as the orchestrator for ML model training and inference workflows.

Scripts 70

Scripts APIs Enterprise Accountability 70

AWS Machine Learning

SEPTEMBER 2, 2022

The Open AI’s GPT-3 model with 175 billion trainable parameters (approximately 350 GB in size) is a good example of this. In this post, we provide an example architecture to train PyTorch models using the Torch Distributed Elastic framework in a distributed data parallel fashion using Amazon Elastic Kubernetes Service (Amazon EKS).

Scripts 76

Scripts Metrics Accountability APIs 76

Fonolo

MARCH 16, 2023

Measuring Customer Satisfaction The arrival of AI-supported tools is expected to flip the script on some of those traditional metrics and introduce some new ones, too. For example, AI-powered chatbots and virtual assistants make metrics like AHT less important.

Contact Center 151

Contact Center Average Handle Time First call resolution Metrics 151

Beyond Philosophy

JANUARY 20, 2020

I used to be part of a volunteer group called Roundtable, it’s like Rotary Club in the US. They build scripts within call centers to get customers to say yes to things early, effectively getting them in the habit of saying yes. For example, I enjoy fishing and have ten fishing rods. Consider volunteering.

Advertising 447

Advertising Telemarketing Consulting Consulting 447

AWS Machine Learning

MAY 31, 2023

In such cases, data scientists have to provide these parameters to their ML model training and deployment code manually, by noting down subnets, security groups, and KMS keys. Provide a name for the stack (for example, networking-stack ), and complete the remaining steps to create the stack. In this section, we explore an example.

APIs 75

APIs Scripts Accountability Enterprise 75

Calltools

MAY 1, 2024

The volunteers have a script to follow, either on a computer screen with various drop-down menus or screens to toggle through depending on responses received from the voter. For example, presidential campaigns are nationwide, and the most widely accepted cut-off time for calling residential phone numbers is 8:00 pm.

Banking 52

Banking Scripts Call Center Government 52

CSM Magazine

FEBRUARY 12, 2024

Segmentation allows businesses to divide their customer base into distinct groups based on demographics, behaviors, preferences, or other relevant factors. Michael Mcguire, Contact Center Software Consultant @NobelBiz Scripting and messaging One key strategy for effective communication is scripting and messaging.

Contact center software 52

Contact center software Scripts Contact Center Consulting 52

AWS Machine Learning

OCTOBER 2, 2023

Finally, the labels are stored in a feature group in SageMaker Feature Store. If you want to try the working example yourself, check out the accompanying GitHub repository. Use the scripts created in step one as part of the processing and training steps. We started by creating command line scripts from the experiment code.

Scripts 87

Scripts Construction Engineering APIs 87