AWS Machine Learning

MARCH 11, 2025

How do Amazon Nova Micro and Amazon Nova Lite perform against GPT-4o mini in these same metrics? The following table provides example questions with their domain and question type. Vector database FloTorch selected Amazon OpenSearch Service as a vector database for its high-performance metrics. Each provisioned node was r7g.4xlarge,

Benchmark 98

Benchmark APIs Enterprise Scripts 98

AWS Machine Learning

NOVEMBER 15, 2024

For example, you can use Amazon Bedrock Guardrails to filter out harmful user inputs and toxic model outputs, redact by either blocking or masking sensitive information from user inputs and model outputs, or help prevent your application from responding to unsafe or undesired topics.

APIs 108

APIs Government Best practices Metrics 108

Calabrio

FEBRUARY 27, 2025

Workforce Management 2025 Call Center Productivity Guide: Must-Have Metrics and Key Success Strategies Share Achieving maximum call center productivity is anything but simple. Revenue per Agent: This metric measures the revenue generated by each agent. For many leaders, it might often feel like a high-wire act.

Call Center 52

Call Center Metrics Gamification Contact Center 52

AWS Machine Learning

AUGUST 2, 2024

Investors and analysts closely watch key metrics like revenue growth, earnings per share, margins, cash flow, and projections to assess performance against peers and industry trends. Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time.

Engineering 127

Engineering Scripts Metrics APIs 127

ProProfs Blog

APRIL 17, 2020

But without numbers or metric data in hand, coming up with any new strategy would only consume your valuable time. For example, you need access to metrics like NPS, average response time and others like it to make sure you come up with relevant strategies that help you retain more customers. So, buckle up. 7: LTV/CAC Ratio. #8:

Metrics 142

Metrics Customer retention SaaS Surveys 142

AWS Machine Learning

OCTOBER 24, 2024

Anatomy of RAG RAG is an efficient way to provide an FM with additional knowledge by using external data sources and is depicted in the following diagram: Retrieval : Based on a user’s question (1), relevant information is retrieved from a knowledge base (2) (for example, an OpenSearch index).

Chatbots 85

Chatbots Metrics Scripts APIs 85

AWS Machine Learning

FEBRUARY 12, 2025

For example, when tested on the MT-Bench dataset , the paper reports that Medusa-2 (the second version of Medusa) speeds up inference time by 2.8 For example, you can still use an ml.g5.4xlarge instance with 24 GB of GPU memory to host your 7-billion-parameter Llama or Mistral model with extra Medusa heads. times on the same dataset.

Scripts 77

Scripts Metrics Engineering Accountability 77

ShepHyken

NOVEMBER 4, 2022

This week, we feature an article by Baphira Wahlang Shylla, a digital marketer at Knowmax , a SaaS company that provides knowledge management solutions for various industries that are seeking to improve their customer service metrics. For example, it can take up to 5-6 weeks to provide training to new agents at a call center.

Customer Experience 165

Customer Experience Scripts Self service outsourcing 165

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. You will learn how to easily output the evaluation metric of choice to Amazon CloudWatch , from which you can extract this metric to guide the automatic HPO algorithm.

Scripts 87

Scripts Metrics Healthcare Accountability 87

AWS Machine Learning

AUGUST 18, 2022

One of the challenges encountered by teams using Amazon Lookout for Metrics is quickly and efficiently connecting it to data visualization. The anomalies are presented individually on the Lookout for Metrics console, each with their own graph, making it difficult to view the set as a whole. Overview of solution.

Metrics 80

Metrics Scripts Accountability Best practices 80

REVE Chat Blog

FEBRUARY 5, 2020

An example of poor customer service not only worsens the existing customer relationships but also endangers the potential opportunities, and obviously erodes the bottom line of your business. Overuse of scripts to respond to customers. Top reasons for bad customer service examples (and how to fix them). How to fix?

Customer Service 93

Customer Service Airlines Scripts Chatbots 93

GetFeedback

AUGUST 14, 2019

Measuring just a piece of this journey can seem short-sighted or not as powerful as other CX metrics, like Net Promoter Score (NPS). CX shouldn’t ever be measured by one metric alone. Customers and their experiences are complex and nuanced, so there’s no perfect metric. See the example below. FREE TOOL: CSAT CALCULATOR

Metrics 109

Metrics Journey mapping Surveys Coaching 109

Callminer

APRIL 24, 2020

Focus on the Metrics that Matter Most. Keeping track of call metrics and agent KPIs is a good way of maintaining a high level of performance in the call center. However, you should be careful not to measure too much so you don’t end up drowning in metrics and data. Call Center Metrics Guide.

Best practices 182

Best practices Call Center Coaching Schedule adherence 182

Callminer

APRIL 21, 2020

Call center managers may be involved with hiring and training call center agents , monitoring call center metrics tied to agent performance , using speech analytics tools for ongoing quality monitoring , providing ongoing feedback and coaching, and more. Good scripting can lessen the amount of decision making, but another way to counteract.

Call Center 182

Call Center Management Scripts Coaching 182

Fonolo

MARCH 16, 2023

But without the contact center KPIs and metrics that managers use to measure the effectiveness of their operations, you’d never know for sure. We asked contact center industry influencers to share their insights into the changing role of KPIs and shine a light on new metrics to watch. KPIs matter. And they’re changing quickly.

Contact Center 151

Contact Center Average Handle Time First call resolution Metrics 151

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 116

Scripts Engineering Metrics Best practices 116

AWS Machine Learning

AUGUST 11, 2022

This post shows you how to use an integrated solution with Amazon Lookout for Metrics and Amazon Kinesis Data Firehose to break these barriers by quickly and easily ingesting streaming data, and subsequently detecting anomalies in the key performance indicators of your interest. You don’t need ML experience to use Lookout for Metrics.

Metrics 85

Metrics APIs Scripts Wireless 85

CSM Magazine

JANUARY 2, 2025

Lets look at some examples: Healthcare: Patients want more than medical advice. For example, simulate frustrated calls with specific emotional tones, and teach agents how to respond with patience and understanding. Scripts shouldnt box agents into rigid responses. Encourage agents to step into the customers shoes.

Customer Support 52

Customer Support Scripts Healthcare Feedback 52

Calltools

DECEMBER 25, 2024

Dynamic Scripting Dynamic scripting customizes call scripts in real-time to support agent interactions. Metrics Tracking Use your auto dialer to measure your campaigns and agent performance so you can continue to optimize your operations. Personalized interactions further improve the customer experience.

Real estate 52

Real estate Scripts CRM Call Center 52

Outsource Consultants

MARCH 18, 2025

In essence, outsourcing allowed the company to scale support capacity quickly without sacrificing quality , and even improve service metrics by dedicating internal experts to the most critical tasks. Key metrics to consider include customer retention rates, average handle time, and first call resolution rates.

Call Center 67

Call Center outsourcing First call resolution Average Handle Time 67

AWS Machine Learning

JUNE 24, 2022

We run this example on Amazon SageMaker Studio for you to try out for yourself. We use the following GitHub repo as an example, so let’s load this notebook. This example uses PyTorch, so we can choose the pre-built PyTorch 1.10 We use the Cambridge-driving Labeled Video Database (CamVid) for this example. program: train.py

Metrics 100

Metrics Transportation Scripts Engineering 100

CSM Magazine

JANUARY 2, 2025

Lets look at some examples: Healthcare: Patients want more than medical advice. For example, simulate frustrated calls with specific emotional tones, and teach agents how to respond with patience and understanding. Scripts shouldnt box agents into rigid responses. Encourage agents to step into the customers shoes.

Customer Support 52

Customer Support Scripts Healthcare Feedback 52

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 91

Education Engineering APIs Enterprise 91

AWS Machine Learning

JULY 2, 2024

Image 2: Hugging Face NLP model inference performance improvement with torch.compile on AWS Graviton3-based c7g instance using Hugging Face example scripts. This section shows how to run inference in eager and torch.compile modes using torch Python wheels and benchmarking scripts from Hugging Face and TorchBench repos.

Benchmark 115

Benchmark Scripts Metrics APIs 115

Interaction Metrics

MARCH 27, 2025

At Interaction Metrics, our approach to increasing customer retention is informed by the real problem with most customer feedback surveys: theyre impersonal, ineffective, and often ignored. Use real conversations, not scripts, to empathize genuinely: Genuine conversations build trust. Look at HubSpot as an example.

Customer retention 62

Customer retention Metrics Surveys Advertising 62

AWS Machine Learning

JUNE 17, 2024

The following code shows an example of how a query is configured within the config.yml file. If you are using the default VPC and security groups then you can leave these configuration parameters empty, see example in this configuration file. The latest model registered in the model registry from the training pipeline is approved.

Scripts 119

Scripts Engineering Metrics Big data 119

Calabrio

MARCH 27, 2025

This is why the amount of time spent on interactions is a key metric for ensuring the efficiency of your customer service. Contact Center AHT Components: Its important to understand that average handle time is, in a sense, a metric of metrics. It’s called average handle time (AHT).

Average Handle Time 52

Average Handle Time Best practices Contact Center Metrics 52

AWS Machine Learning

MAY 29, 2024

For example, instead of simply asking the model to describe the image, ask specific questions about the image and relating to its content. By creating synthetic examples of text descriptions, question-answer pairs, and corresponding charts, you can augment your dataset with multimodal examples tailored to your specific use case.

Scripts 127

Scripts Healthcare Metrics Finance 127

AWS Machine Learning

FEBRUARY 5, 2025

Through this practical example, well illustrate how startups can harness the power of LLMs to enhance customer experiences and the simplicity of Nemo Guardrails to guide the LLMs driven conversation toward the desired outcomes. Lets delve into a basic Colang script to see how it works: define user express greeting "hello" "hi" "what's up?"

Chatbots 95

Chatbots Construction Best practices APIs 95

Callminer

SEPTEMBER 23, 2020

“A good outbound sales script contains a strong connecting statement. ” – Grace Sweeney, 5 Outbound Sales Scripts You Can Adjust on the Fly , Copper; Twitter: @copperinc. Keep metrics in mind and up to date. Read on to learn more: Tools to Leverage for Your Outbound Call Center. Aim to connect.

Best practices 182

Best practices Call Center Outbound sales Telemarketing 182

Callminer

SEPTEMBER 14, 2020

For instance, to improve key call center metrics such as first call resolution , business analysts may recommend implementing speech analytics solutions to improve agent performance management. That requires involvement in process design and improvement, workload planning and metric and KPI analysis. Kirk Chewning. kirkchewning.

Call Center 182

Call Center Analytics First call resolution Metrics 182

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 126

Scripts Engineering Metrics Management 126

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 100

Scripts APIs Metrics Best practices 100

AWS Machine Learning

APRIL 19, 2024

Solution overview In this section, we present a generic architecture that is similar to the one we use for our own workloads, which allows elastic deployment of models using efficient auto scaling based on custom metrics. The reverse proxy collects metrics about calls to the service and exposes them via a standard metrics API to Prometheus.

Metrics 122

Metrics APIs Scripts Construction 122

AWS Machine Learning

SEPTEMBER 18, 2024

Reusable scaling scripts for rapid experimentation – HyperPod offers a set of scalable and reusable scripts that simplify the process of launching multiple training runs. The Observability section of this post goes into more detail on which metrics are exported and what the dashboards look like in Amazon Managaed Grafana.

Scripts 110

Scripts Metrics Management Accountability 110

AWS Machine Learning

NOVEMBER 10, 2023

For example, you might want to solve an image recognition task using a supervised learning algorithm. Additionally, you need to define which underlying metric fits best for your task and you want to optimize for (such as accuracy, F1 score, or ROC). We opted for providing our own Python script and using Scikit-learn as our framework.

Scripts 111

Scripts Metrics Feedback Enterprise 111

AWS Machine Learning

MAY 31, 2024

This genomic data could be either public (for example, GenBank) or could be your own proprietary data. Training on SageMaker We use PyTorch and Amazon SageMaker script mode to train this model. Script mode’s compatibility with PyTorch was crucial, allowing us to use our existing scripts with minimal modifications.

Biotechnology 104

Biotechnology Scripts Healthcare APIs 104