AWS Machine Learning

MARCH 27, 2025

This requirement translates into time and effort investment of trained personnel, who could be support engineers or other technical staff, to review tens of thousands of support cases to arrive at an even distribution of 3,000 per category. If the use case doesnt yield discrete outputs, task-specific metrics are more appropriate.

Education 92

Education Engineering APIs Enterprise 92

AWS Machine Learning

FEBRUARY 29, 2024

This enables data scientists to quickly build and iterate on ML models, and empowers ML engineers to run through continuous integration and continuous delivery (CI/CD) ML pipelines faster, decreasing time to production for models. You can then iterate on preprocessing, training, and evaluation scripts, as well as configuration choices.

Scripts 121

Scripts Engineering Metrics Best practices 121

Callminer

FEBRUARY 4, 2021

Now more than ever, organizations need to actively manage the Average-Speed-of-Answer (ASA) metric. Older citizens, the unhealthy, and those in low-income areas have always been targets for social engineering. Despite the pandemic, customers have retained the expectation that if they call you, you’ll be there for them.

Call Center 345

Call Center Contact Center Finance Consulting 345

AWS Machine Learning

MAY 5, 2023

To address the problems associated with complex searches, this post describes in detail how you can achieve a search engine that is capable of searching for complex images by integrating Amazon Kendra and Amazon Rekognition. A Python script is used to aid in the process of uploading the datasets and generating the manifest file.

Engineering 104

Engineering APIs Scripts Enterprise 104

AWS Machine Learning

JUNE 17, 2024

PrestoDB is an open source SQL query engine that is designed for fast analytic queries against data of any size from multiple sources. 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

AWS Machine Learning

APRIL 1, 2024

However, training or fine-tuning these large models for a custom use case requires a large amount of data and compute power, which adds to the overall engineering complexity of the ML stack. Most of the details will be abstracted by the automation scripts that we use to run the Llama2 example. Cluster with p4de.24xlarge

Scripts 129

Scripts Engineering Metrics Management 129

AWS Machine Learning

OCTOBER 24, 2024

Evaluating a RAG solution Contrary to traditional machine learning (ML) models, for which evaluation metrics are well defined and straightforward to compute, evaluating a RAG framework is still an open problem. Mean Reciprocal Rank (MRR) – This metric considers the ranking of the retrieved documents.

Chatbots 89

Chatbots Metrics Scripts APIs 89

AWS Machine Learning

FEBRUARY 25, 2025

Amazon Q Business only provides metric information that you can use to monitor your data source sync jobs. We recommend running similar scripts only on your own data sources after consulting with the team who manages them, or be sure to follow the terms of service for the sources that youre trying to fetch data from.

Enterprise 93

Enterprise Engineering APIs Accountability 93

AWS Machine Learning

OCTOBER 23, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. The system is developed by a team of dedicated applied machine learning (ML) scientists, ML engineers, and subject matter experts in collaboration between AWS and Talent.com.

Engineering 117

Engineering Metrics Scripts Construction 117

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 114

Scripts Metrics Management Accountability 114

Hodusoft

NOVEMBER 6, 2024

Service Level Agreements (SLAs): Ensure compliance with SLAs, which outline expected service levels and performance metrics. Identify Key Metrics and KPIs Key Performance Indicators (KPIs) are vital for measuring the success of contact center operations. This will enable you to create tailored strategies to enhance overall experience.

Best practices 52

Best practices Contact Center Contact center software Abandon rate 52

AWS Machine Learning

OCTOBER 2, 2023

We can follow a simple three-step process to convert an experiment to a fully automated MLOps pipeline: Convert existing preprocessing, training, and evaluation code to command line scripts. Use the scripts created in step one as part of the processing and training steps. Integrate the pipeline into your CI/CD workflow.

Scripts 120

Scripts Construction Engineering APIs 120

AWS Machine Learning

MAY 29, 2024

bin/bash # Set the prompt and model versions directly in the command deepspeed /root/LLaVA/llava/train/train_mem.py --deepspeed /root/LLaVA/scripts/zero2.json It sets up a SageMaker training job to run the custom training script from LLaVA. He has over a decade experience in the FinTech industry as software engineer.

Scripts 131

Scripts Healthcare Metrics Finance 131

AWS Machine Learning

JUNE 27, 2023

This post explains how Provectus and Earth.com were able to enhance the AI-powered image recognition capabilities of EarthSnap, reduce engineering heavy lifting, and minimize administrative costs by implementing end-to-end ML pipelines, delivered as part of a managed MLOps platform and managed AI services.

Engineering 116

Engineering APIs Scripts Entertainment 116

AWS Machine Learning

MARCH 9, 2023

As machine learning (ML) models have improved, data scientists, ML engineers and researchers have shifted more of their attention to defining and bettering data quality. The PyTorch estimator from the sagemaker.pytorch package allows us to run our own training script in a managed PyTorch container.

Scripts 95

Scripts Engineering Metrics Management 95

AWS Machine Learning

JANUARY 5, 2024

Wipro further accelerated their ML model journey by implementing Wipro’s code accelerators and snippets to expedite feature engineering, model training, model deployment, and pipeline creation. Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step.

Management 133

Management APIs Engineering Government 133

NobelBiz

JULY 11, 2022

Scripts are an essential component of every contact center. The correct amount of data and accurate information delivery can yield impressive scripting capabilities. To provide a better customer experience (CX), dynamic agent scripting is required. Table of Contents show What is call center Dynamic Agent Scripting?

Scripts 52

Scripts Call Center Customer Experience Average Handle Time 52

AWS Machine Learning

NOVEMBER 22, 2023

Training script Before starting with model training, we need to make changes to the training script to make it XLA compliant. We followed the instructions provided in the Neuron PyTorch MLP training tutorial to add XLA-specific constructs in our training scripts. These code changes are straightforward to implement.

Scripts 113

Scripts Engineering Best practices Construction 113

AWS Machine Learning

JULY 25, 2024

The node recovery agent is a separate component that periodically checks the Prometheus metrics exposed by the node problem detector. Additionally, the node recovery agent will publish Amazon CloudWatch metrics for users to monitor and alert on these events. You can see the CloudWatch NeuronHasError_DMA_ERROR metric has the value 1.

Construction 113

Construction Metrics Scripts Engineering 113

AWS Machine Learning

JULY 14, 2022

Data scientists often work towards understanding the effects of various data preprocessing and feature engineering strategies in combination with different model architectures and hyperparameters. In each individual experiment, we track input and output artifacts, code, and metrics using SageMaker Experiments. SageMaker Experiments.

Scripts 99

Scripts Engineering Metrics APIs 99

AWS Machine Learning

JANUARY 19, 2024

The concepts illustrated in this post can be applied to applications that use PLM features, such as recommendation systems, sentiment analysis, and search engines. The performance of the architecture is typically measured using metrics such as validation loss. training.py ).

Metrics 126

Metrics Scripts Benchmark Enterprise 126

AWS Machine Learning

FEBRUARY 19, 2024

Before you can write scripts that use the Amazon Bedrock API, you need to install the appropriate version of the AWS SDK in your environment. For Python scripts, you can use the AWS SDK for Python (Boto3). For more information, refer to Prompt Engineering Guidelines. exclusive) to 10.0 Parse and decode the response.

Scripts 128

Scripts APIs Entertainment Engineering 128

AWS Machine Learning

DECEMBER 21, 2022

Amazon SageMaker Feature Store is a purpose-built feature management solution that helps data scientists and ML engineers securely store, discover, and share curated data used in training and prediction workflows. Amazon Athena is a serverless SQL query engine that natively supports Iceberg management procedures. AWS Glue Job setup.

Scripts 93

Scripts Engineering APIs Big data 93

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 124

Metrics APIs Scripts Construction 124

AWS Machine Learning

NOVEMBER 1, 2022

Data scientists need to only provide a tabular dataset and select the target column to predict, and Autopilot automatically infers the problem type, performs data preprocessing and feature engineering, selects the algorithms and training mode, and explores different configurations to find the best ML model. script creates an Autopilot job.

Scripts 98

Scripts APIs Metrics Engineering 98

AWS Machine Learning

NOVEMBER 9, 2023

Under Advanced Project Options , for Definition , select Pipeline script from SCM. For Script Path , enter Jenkinsfile. upload_file("pipelines/train/scripts/raw_preprocess.py","mammography-severity-model/scripts/raw_preprocess.py") s3_client.Bucket(default_bucket).upload_file("pipelines/train/scripts/evaluate_model.py","mammography-severity-model/scripts/evaluate_model.py")

Scripts 122

Scripts Accountability Best practices Engineering 122

AWS Machine Learning

APRIL 19, 2023

Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts. Ideally, we instead want to load the model PyTorch scripts, extract the features from model input, and run model inference entirely in Java. They use the DJL PyTorch engine to initialize the model predictor.

Engineering 94

Engineering APIs Scripts Education 94

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. script exists in a Docker image that copies data from Amazon S3 to Amazon EFS.

Scripts 95

Scripts Engineering Metrics Transportation 95

AWS Machine Learning

APRIL 2, 2024

The following figure illustrates some of these metrics: source: [link] With SageMaker JumpStart, you can deploy Solar 10.7B He is pursuing his PhD in Computer and Electrical Engineering at the Korea Advanced Institute of Science and Technology (KAIST). Along with topping the Open LLM Leaderboard, Solar 10.7B

Scripts 122

Scripts Education Engineering Technology 122

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. as the entry point script to handle invocations. This means keeping the same PyTorch and Python versions for training and inference.

Personalization 122

Personalization APIs Scripts Technical Support 122

AWS Machine Learning

FEBRUARY 13, 2024

Before moving to full-scale production, BigBasket tried a pilot on SageMaker to evaluate performance, cost, and convenience metrics. Log model training metrics. Each worker then proceeds with the forward and backward pass defined in your training script on each GPU. Copy the final model to an S3 bucket.

Engineering 128

Engineering Gamification Big data Scripts 128

AWS Machine Learning

AUGUST 30, 2023

For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization. This metric compares an automatically produced summary against a reference or a set of references (human-produced) summary or translation.

Healthcare 134

Healthcare APIs Scripts Metrics 134

AWS Machine Learning

NOVEMBER 20, 2023

Data scientists or ML engineers who want to run model training can do so without the burden of configuring training infrastructure or managing Docker and the compatibility of different libraries. We reviewed the training script code to see if anything was causing the CPU bottleneck. 24xlarge instances. region_name}.amazonaws.com/pytorch-training:2.0.0-gpu-py310-cu118-ubuntu20.04-sagemaker'

Scripts 118

Scripts Finance Telecommunications Enterprise 118

AWS Machine Learning

FEBRUARY 20, 2024

Trusted by the biggest names in entertainment, ZOO Digital delivers high-quality localization and media services at scale, including dubbing, subtitling, scripting, and compliance. git+[link] ffmpeg-python Create an inference script to load the models and run inference Next, we create a custom inference.py

Technology 124

Technology Scripts Engineering Entertainment 124

AWS Machine Learning

NOVEMBER 15, 2023

If you don’t want to change the quota, you can simply modify the value of the MAX_PARALLEL_JOBS variable in the script (for example, to 5). Training script template The AutoML workflow in this post is based on scikit-learn preprocessing pipelines and algorithms. Note that individual pipeline scripts are not created yet at this point.

Scripts 115

Scripts Best practices Accountability Engineering 115

AWS Machine Learning

MAY 30, 2024

The company’s Data & Analytics team regularly receives client requests for unique reports, metrics, or insights, which require custom development. A lightweight approach was taken to quickly build the required technical and business catalogs using custom scripts. The following figure illustrates its code structure and workflow.

Real estate 129

Real estate APIs Metrics Construction 129

AWS Machine Learning

MAY 10, 2023

Examples of such use cases include scaling up a feature engineering job that was previously tested on a small sample dataset on a small notebook instance, running nightly reports to gain insights into business metrics, and retraining ML models on a schedule as new data becomes available.

Scripts 95

Scripts Automotive Engineering Enterprise 95