AWS Machine Learning

APRIL 26, 2024

Code generation DBRX models demonstrate benchmarked strengths for coding tasks. user Write a Python script to read a CSV file containing stock prices and plot the closing prices over time using Matplotlib. The file should have columns named 'Date' and 'Close' for this script to work correctly. Let's break it down: 1.

Transportation 132

Transportation Scripts Accountability Benchmark 132

Help Scout

JULY 13, 2021

Read Email Response Times: Benchmarks and Tips for Support for practical advice. Bot of America In what was initially presented as friendly, human social media service, but later revealed to be another bamboozled bot, Bank of America repeatedly sent generic “helpful” Twitter replies to an artist protesting the bank’s behavior.

Customer Service 137

Customer Service Scripts Chatbots Airlines 137

AWS Machine Learning

DECEMBER 16, 2022

In this blog post, we’ll first present our latest performance improvements in the SageMaker model parallel library. Finally, we’ll benchmark performance of 13B, 50B, and 100B parameter auto-regressive models and wrap up with future work. A ready-to-use training script for GPT-2 model can be found at train_gpt_simple.py.

Benchmark 97

Benchmark Engineering APIs Scripts 97

Fonolo

AUGUST 22, 2017

Nowadays, we’re buying each other birthday presents and making inappropriate jokes. If it has a search engine, which most do, focus on putting in the correct keywords to get the script or article that you need to solve the customer’s problem. Understanding Industry Benchmarks. You don’t want them to hate you.

Call Center 124

Call Center Contact Center Call Logging Benchmark 124

AWS Machine Learning

MAY 22, 2024

SageMaker starts and manages all of the necessary Amazon Elastic Compute Cloud (Amazon EC2) instances for us, supplies the appropriate Hugging Face container, uploads the specified scripts, and downloads data from our S3 bucket to the container to /opt/ml/input/data. We prepared entrypoint_vqa_finetuning.py

Scripts 136

Scripts Engineering Accountability Benchmark 136

AWS Machine Learning

JULY 26, 2023

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. Configure the model with a provided script In this section, we show how to configure the LMI container to host the Stable Diffusion models. model on the GitHub repo.

Scripts 98

Scripts APIs Benchmark Engineering 98

AWS Machine Learning

AUGUST 3, 2022

Alternatively, with entity lists, you provide a list of entities with their corresponding entity type label, and a set of unannotated documents in which you expect your entities to be present. In this post, we walk you through the benchmarking process and the results we obtained while working on subsampled datasets.

Benchmark 97

Benchmark APIs Metrics Scripts 97

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

JANUARY 19, 2024

Solution overview In this section, we present the overall workflow and explain the approach. We use the Recognizing Textual Entailment dataset from the GLUE benchmarking suite. First, we use an Amazon SageMaker Studio notebook to fine-tune a pre-trained BERT model on a target task using a domain-specific dataset. training.py ).

Metrics 131

Metrics Scripts Benchmark Enterprise 131

AWS Machine Learning

JANUARY 13, 2023

In this second part, we present a proof-of-concept healthcare and life sciences use case from a real-world dataset eICU. For benchmark analysis, we considered the task of predicting the in-hospital mortality of patients [2]. script converts NumPy arrays into Torch tensors, as shown in the following code snippet. and data_loader.py

Analytics 100

Analytics Healthcare Scripts Accountability 100

AWS Machine Learning

NOVEMBER 17, 2022

AlexaTM 20B has shown competitive performance on common natural language processing (NLP) benchmarks and tasks, such as machine translation, data generation and summarization. To use a large language model in SageMaker, you need an inferencing script specific for the model, which includes steps like model loading, parallelization and more.

Scripts 101

Scripts APIs Government Engineering 101

AWS Machine Learning

OCTOBER 24, 2022

DL scripts often require boilerplate code, notably the aforementioned double for loop structure that splits the dataset into minibatches and the training into epochs. At the time of this writing, it supports PyTorch and includes 25 techniques—called methods in the MosaicML world—along with standard models, datasets, and benchmarks.

Scripts 98

Scripts Enterprise Benchmark APIs 98

GetFeedback

AUGUST 14, 2019

The question is typically presented to the customer using a 1–5 scale, one being very dissatisfied and 5 being very satisfied. . Flip the script on your results and use that as a motivator. But if you are just starting to explore customer feedback in general, this is a simple way to get started and then benchmark against in the future.

Metrics 109

Metrics Journey mapping Surveys Coaching 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. Benchmarking the trained models.

Scripts 97

Scripts Metrics Telecommunications Benchmark 97

Enghouse Interactive

OCTOBER 21, 2020

As noted in the 2019 Dimension Data Customer Experience (CX) Benchmarking report: 88% of contact center decision-makers expect self-service volumes to increase over the next 12 months. Agents will be presented with increasingly more complex situations which will require more engagement, insight and analysis.

Self service 79

Self service Contact Center Benchmark Chatbots 79

AWS Machine Learning

FEBRUARY 28, 2023

This post presents an implementation of a fraud detection solution using the Relational Graph Convolutional Network (RGCN) model to predict the probability that a transaction is fraudulent through both the transductive and inductive inference modes. Each training transaction is provided with a binary label denoting if it is fraudulent.

Construction 101

Construction Benchmark Accountability Healthcare 101

AWS Machine Learning

MAY 31, 2023

In this post, we present a comprehensive guide of deploying a multiple-choice quiz solution for the FAQ pages of any AWS service, based on the AI21 Jurassic-2 Jumbo Instruct foundation model on Amazon SageMaker Jumpstart. Q: Can I see the model weights and scripts of proprietary models in preview with Amazon SageMaker JumpStart?

Scripts 99

Scripts Engineering Accountability Benchmark 99

Fonolo

JANUARY 31, 2023

To demonstrate the practical aspect of your customer profiles, write up role-play scripts for each profile and have staff act them out. Host inter-departmental updates, bring in outside teachers for workshops, or outside companies for presentations. Act it out. Make the information universally available. The format is up to you.

Call Center 141

Call Center Contact Center Coaching Gamification 141

AWS Machine Learning

SEPTEMBER 5, 2023

For our LLM, we use Llama 2 , the next generation open-source LLM, which outperforms existing open-source language models on many benchmarks, including reasoning, coding, proficiency, and knowledge tests. You can refer to the inference script and configuration file for more details.

Advertising 128

Advertising Scripts Best practices Personalization 128

AWS Machine Learning

APRIL 27, 2023

This is the same as developing any C++ function for PyTorch, and the only libraries that need to be present in the development environment are those for PyTorch and C++. She is also part of the Technical Field Community dedicated to hardware acceleration and helps with testing and benchmarking AWS Inferentia and AWS Trainium workloads.

APIs 98

APIs Engineering Scripts Benchmark 98

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 10

Scripts Benchmark Metrics Contact Center 10

aircall

OCTOBER 18, 2016

Look into benchmarking. The benchmarking process is a continuous loop. The benchmarking process is a continuous loop. For some businesses, benchmarking and maintaining quality can be a challenge. Special circumstances will force agents to deviate from their scripts. Write solid scripts. Which ran long.

Best practices 48

Best practices Call Center Customer Service Scripts 48

AWS Machine Learning

MARCH 27, 2025

These include metrics such as ROUGE or cosine similarity for text similarity, and specific benchmarks for assessing toxicity (Detoxify), prompt stereotyping (cross-entropy loss), or factual knowledge (HELM, LAMA). The agent went over the details and presented the steps along necessary along with the documentation links.

Education 111

Education Engineering APIs Enterprise 111

SharpenCX

AUGUST 26, 2020

This can include things like: Spending time updating outdated call scripts Improving the feedback sharing process between customer service and other teams Finding new learning opportunities for the team to level up their skills Putting measures in place to stay mentally healthy when working from home. Be a Good Performance Assessor.

Call Center 67

Call Center Abandon rate Management Benchmark 67

Comm100

MARCH 7, 2019

Decision Tree: An “If this… then that” framework that guides the customer to choose from a list of pre-defined scripts and options. This framework can be presented either through keywords or buttons. You don’t need to be a bot expert or know how to code complex scripts to build a successful chatbot.

Chatbots 73

Chatbots Scripts Technology Benchmark 73

aircall

MARCH 24, 2021

The scripts and tools sales agents are using don’t seem to match the company’s marketing efforts. . They prospect for one lead, nurture the next, make a presentation to another, and try to close a few others. Craft sales scripts for prospecting. . 2) Create personalized phone and email scripts .

Best practices 62

Best practices Sales Scripts Outbound sales 62

Maru Group

AUGUST 27, 2024

First and foremost, Consumer Duty is presenting practical compliance challenges for companies, ensuring that all existing and planned customer communications about financial products meet all of the FCA’s new requirements - such as ensuring clear communications, value for money, and protecting vulnerable consumers.

Finance 52

Finance Scripts Surveys Benchmark 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.

Best practices 98

Best practices APIs Metrics Accountability 98

aircall

NOVEMBER 4, 2016

Take advantage of free trials and benchmark different providers to stay informed. Ask about integrations with helpdesks, CRMs, script builders, survey templates, etc. Be present during the change. There are all considerations to keep in mind when picking your CTI system. Focus on success. Ask for training.

Customer Support 83

Customer Support Interactive Voice Response Call Center Automatic Callback 83

Enghouse Interactive

AUGUST 13, 2018

The use of real-time speech analytics (RTSA) solutions to continuously monitor conversations between agents and customers enables businesses to ensure the compliance of all calls by helping agents adhere to scripts, ensuring contracts are explained correctly and reducing cancellations and customer disputes.

Average Handle Time 40

Average Handle Time Scripts Coaching Quality management 40

Lumoa

NOVEMBER 30, 2022

Naturally, this is setting a new benchmark for E-commerce stores, since customers are choosing to shop at only the best websites in the competitive space. This is essentially a software program that uses scripted rules and AI to provide human customers with relevant guidance. Incorporate a digital sales agent. Lead generation.

Customer Experience 78

Customer Experience Chatbots Virtual Agent Sales 78

Comm100

FEBRUARY 20, 2018

According to our 2018 Live Chat Benchmark Report , Comm100’s Chatbot takes care of about 20% of all incoming live chat inquiries alone. They can also offer expansive menus that present customers with options that they weren’t even thinking about when they initiated the chat – encouraging clicks and product discovery.

Chatbots 72

Chatbots Contact Center Chief Customer Officer Benchmark 72

AWS Machine Learning

DECEMBER 13, 2024

Previously, it required a data scientist to write over 100 lines of code within an Amazon SageMaker Notebook to identify and retrieve the proper image, set the right training script, and import the right hyperparameters. RAG benchmark Compare the fine-tuned models performance against a RAG system using a pre-trained model.

Analytics 95

Analytics Management Accountability Engineering 95

Global Response

DECEMBER 12, 2022

Some call centers benchmarks you can use for quality assurance include categories like friendliness, efficiency, service, or other customer satisfaction metrics. After providing a score in each benchmark category based on a defined rubric, the call is then given an overall quality score. Are agents creative with their solutions?

Average Handle Time 62

Average Handle Time Metrics Benchmark Surveys 62

Fonolo

JUNE 17, 2015

On top of that, each new employee should have a benchmark assessment during a one-on-one session (we’d suggest on live calls) to highlight areas where they need to improve from the start. The format is up to you; host inter-departmental updates, bring in outside teachers for workshops, or companies for presentations.

Call Center 96

Call Center Gamification Coaching Contact Center 96

ChurnZero

JULY 9, 2020

You can also host customer panel or ask me anything (AMA) webinars to encourage more interactive, dynamic discussions compared to the traditional format with a sole presenter or one-way dialogue. For these types of less scripted presentations, having a moderator who is highly knowledgeable on the topic is a must.

SaaS 64

SaaS Marketing Upselling Chief Customer Officer 64

aircall

JUNE 14, 2021

It also presents opportunities to offer well-deserved praise when it’s warranted. Track your metrics and KPIs for at least a quarter to get a benchmark for goals to reach and surpass. Continually refine your call center scripts in response to data from customer feedback and call center data.

Call Center 62

Call Center Metrics First call resolution Wait times 62