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 78

Scripts Metrics Engineering Accountability 78

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. To access the code and documentation, refer to the GitHub repo.

Calibration 94

Calibration Scripts Benchmark APIs 94

Fonolo

DECEMBER 15, 2022

Keep them up to date on new policies, best customer support practices, adjustments to the call center script, and more. TIP: Call center scripts should be considered living documents, as they’ll need to be regularly updated to align with new industry trends, department goals, and both agent and customer feedback.

Call Center 138

Call Center Contact center software Abandon rate Self service 138

Spearline

JULY 21, 2022

Flip the script With testingRTC, you only need to write scripts once, you can then run them multiple times and scale them up or down as you see fit. testingRTC simulates any user behavior using our powerful Nightwatch scripting, you can manage these scripts via our handy git integration.

Scripts 98

Scripts APIs Metrics Analytics 98

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 98

Scripts APIs Benchmark Engineering 98

AWS Machine Learning

NOVEMBER 30, 2023

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. For these two frameworks, provide the model artifacts in the format the container expects.

Benchmark 127

Benchmark APIs Scripts Engineering 127

AWS Machine Learning

AUGUST 3, 2022

Amazon Comprehend is a natural-language processing (NLP) service you can use to automatically extract entities, key phrases, language, sentiments, and other insights from documents. All you need to do is load your dataset of documents and annotations, and use the Amazon Comprehend console, AWS CLI, or APIs to create the model.

Benchmark 84

Benchmark APIs Metrics Scripts 84

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. Create a HyperPod cluster with an SSSD-enabled lifecycle script Next, you create a HyperPod cluster with LDAPS/Active Directory integration.

Scripts 113

Scripts Engineering Management Benchmark 113

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

Totango

JUNE 24, 2022

SaaS success outcomes can be defined in terms of measurable digital benchmarks. Laying out a customer journey map allows CS teams to set measurable goals for each customer experience stage, set benchmarks, and implement automated strategies corresponding to mapped stages. Here are five keys to doing it right.

Best practices 109

Best practices SaaS Journey mapping B2C 109

Help Scout

JULY 13, 2021

Read Email Response Times: Benchmarks and Tips for Support for practical advice. Tarek Khalil took to Twitter to document his quest to cancel his Baremetrics account. This one was a robot, but there are plenty of real humans who aren’t able to break from the script even when the play suddenly has a new act. How Bare you?

Customer Service 137

Customer Service Scripts Chatbots Airlines 137

AWS Machine Learning

OCTOBER 31, 2022

To get started, follow Modify a PyTorch Training Script to adapt SMPs’ APIs in your training script. In this section, we only call out a few main steps with code snippets from the ready-to-use training script train_gpt_simple.py. The notebook uses the script data_prep_512.py Benchmarking performance. return loss.

Scripts 81

Scripts Benchmark APIs Engineering 81

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. You can follow the steps in the documentation to enable model access.

Scripts 134

Scripts Engineering Accountability APIs 134

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 118

Scripts APIs Metrics Management 118

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. Note that the model container also includes any custom inference code or scripts that you have passed for inference. Any issues related to end-to-end latency can then be isolated separately.

Best practices 91

Best practices Scripts APIs Metrics 91

AWS Machine Learning

DECEMBER 16, 2022

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. For training a different model type, you can follow the API document to learn about how to apply SMP APIs.

Benchmark 86

Benchmark Engineering APIs Scripts 86

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

MARCH 13, 2024

. * The `if __name__ == "__main__"` block checks if the script is being run directly or imported. To run the script, you can use the following command: ``` python hello.py ``` * The output will be printed in the console: ``` Hello, world! Evaluate model on test set, compare to benchmarks, analyze errors and biases.

Benchmark 132

Benchmark Scripts APIs Feedback 132

AWS Machine Learning

FEBRUARY 16, 2023

Briefly, this is made possible by an installation script specified by CustomActions in the YAML file used for creating the ParallelCluster (see Create ParallelCluster ). 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 99

Scripts APIs Benchmark Engineering 99

AWS Machine Learning

JANUARY 19, 2024

Another example might be a healthcare provider who uses PLM inference endpoints for clinical document classification, named entity recognition from medical reports, medical chatbots, and patient risk stratification. We use the Recognizing Textual Entailment dataset from the GLUE benchmarking suite. training.py ).

Metrics 124

Metrics Scripts Benchmark Enterprise 124

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 94

Scripts Enterprise APIs Benchmark 94

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

Comm100

MAY 19, 2020

To help you get a better understanding of how much customers appreciate access to live chat, consider the eDigital Customer Service Benchmark survey of 2000 consumers that found that live chat had the highest customer satisfaction levels at 73%, as compared to 61% for email support and only 44% for traditional phone support.

Best practices 111

Best practices Sales Analytics Benchmark 111

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. Because this will be a living document, it’s important to keep track of where this document lives to minimize the chances of your employees using outdated information. Act it out.

Call Center 141

Call Center Contact Center Coaching Gamification 141

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 87

Scripts APIs Benchmark Management 87

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. Implement citation mechanisms to reference source documents in responses.

Best practices 98

Best practices APIs Metrics Accountability 98

Outsource Consultants

JANUARY 27, 2025

Strategies to Improve Customer Satisfaction KPIs: Clearly define each metric and establish benchmarks. Benchmark: Many organizations aim for an AHT of 480 seconds (8 minutes), depending on industry standards. Industry Standard: The 80/20 rule (80% of calls answered within 20 seconds) is a common benchmark.

Contact Center 67

Contact Center Abandon rate Average Handle Time outsourcing 67

AWS Machine Learning

NOVEMBER 16, 2022

We encourage you to read carefully through the datasets documentation ( Sophos/Reversing Labs README, PE Malware Machine Learning Dataset ) to safely handle the malware objects. The following parameters are required to run the script successfully: STACK_NAME – The CloudFormation stack name. AWS_ACCOUNT – AWS Account ID.

Scripts 93

Scripts Metrics Accountability Benchmark 93

AWS Machine Learning

AUGUST 16, 2023

Prepare the BigEarthNet-S2 dataset BigEarthNet-S2 is a benchmark archive that contains 590,325 multispectral images collected by the Sentinel-2 satellite. The images document the land cover, or physical surface features, of ten European countries between June 2017 and May 2018. file: init_distributed_mode function in the util.py

Scripts 89

Scripts Analytics Benchmark Technology 89

Call Experts

AUGUST 2, 2019

For almost 40 years, we have worked tirelessly at aiding businesses with actionable reporting, simplified scripting, and customized solutions. Documentation Enhances the Workplace. Customer Service benchmarks show the importance of a great procedure! AI powers innovation and success for your company! Free your Phone!

outsourcing 68

outsourcing Call Center Answering services Contact Center 68

AWS Machine Learning

SEPTEMBER 22, 2023

The script initiates the SFT model using its current weights and then optimizes them under the guidance of a reward model, so that the resulting RLHF trained model aligns with human preference. For more information, refer to the AWS Sagemaker Developer Guide’s documentation on “ Clean Up ”. configs/accelerate/zero2-bf16.yaml

Engineering 124

Engineering Feedback industry standards Benchmark 124

AWS Machine Learning

DECEMBER 13, 2024

Each specialist is underpinned by thousands of pages of domain documentation, which feeds into the RAG system and is used to train smaller, specialized models with Amazon SageMaker JumpStart. Document assembly Gather all relevant documents that will be used for training.

Analytics 79

Analytics Management Accountability Engineering 79

AWS Machine Learning

MARCH 14, 2024

Their research indicates that zero-shot CoT, using the same single-prompt template, significantly outperforms zero-shot FM performances on diverse benchmark reasoning tasks. Writing assistance – RAG can suggest relevant content, facts, and talking points to help you write documents such as articles, reports, and emails more efficiently.

Best practices 131

Best practices Engineering Chatbots Enterprise 131

AWS Machine Learning

AUGUST 22, 2024

Snowflake Arctic is a family of enterprise-grade large language models (LLMs) built by Snowflake to cater to the needs of enterprise users, exhibiting exceptional capabilities (as shown in the following benchmarks ) in SQL querying, coding, and accurately following instructions. To learn more, refer to API documentation.

Enterprise 124

Enterprise APIs Benchmark Scripts 124

AWS Machine Learning

APRIL 27, 2023

The steps are described in the AWS Neuron Documentation. 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. and a C++17 compatible compiler in a Linux environment. customop_ml/ neuron repository example, we have a build.py

APIs 90

APIs Engineering Scripts Benchmark 90

AWS Machine Learning

MAY 8, 2023

The trtexec tool has three main purposes: Benchmarking networks on random or user-provided input data. The TensorRT_backend repo contains the documentation and source for the backend. script from the following cell. While waiting for the command to finish running, you can check the scripts used in this step.

Engineering 99

Engineering APIs Best practices Scripts 99

Call Experts

OCTOBER 18, 2019

Starting with our tried and true templates, your account manager will suggest scripts and then cater them to your exact needs. . Documentation Enhances the Workplace. Customer Service benchmarks show the importance of a great procedure! AI powers innovation and success for your company! Free your Phone!

Interactive Voice Response 64

Interactive Voice Response Journey mapping Call Center outsourcing 64