AWS Machine Learning

JANUARY 6, 2025

To build an anomaly detection system using such techniques, you need to write custom scripts for processing as well for training. SageMaker provides support for developing scripts by extending in-built algorithm containers, or by building your own custom containers. SageMaker provides Processor classes for both approaches.

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Scripts Metrics Construction Accountability 89

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?

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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 98

Engineering Metrics Scripts Construction 98

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 102

Engineering APIs Scripts Entertainment 102

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.

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Management APIs Engineering Government 119

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.

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Scripts Metrics Management Accountability 95

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 112

Scripts Healthcare Metrics Finance 112

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.

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AWS Machine Learning

FEBRUARY 12, 2024

For hyperparameter tuning, a hyperparameter optimization (HPO) job can be initiated, selecting the best model based on the objective metric. Evaluate – A PySpark processing job evaluates the model using a custom Spark script. This decision is based on a condition metric defined in the configuration file.

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Engineering Wait times Metrics Accountability 119

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 108

Scripts APIs Entertainment Engineering 108

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.

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Scripts Engineering Best practices Construction 100

AWS Machine Learning

NOVEMBER 14, 2024

The DS uses SageMaker Training jobs to generate metrics captured by , selects a candidate model, and registers the model version inside the shared model group in their local model registry. Optionally, this model group can also be shared with their test and production accounts if local account access to model versions is needed.

Government 78

Government Management APIs Accountability 78

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 98

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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 109

Engineering Gamification Big data Scripts 109

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.

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Scripts Engineering Metrics Management 77

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.

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Metrics APIs Scripts Construction 109

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 ).

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Metrics Scripts Benchmark Enterprise 106

Quality Contact Solutions

OCTOBER 4, 2022

Focus on search engine optimization (SEO) so that your company stays ahead of your competitors at the top of the search engines. 8 Key Metrics Telemarketing Companies Need To Evaluate Performance. Your website should be professional, informative, and easy to use.

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Best practices Telemarketing outsourcing B2B 111

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 109

Scripts Accountability Best practices Engineering 109

AWS Machine Learning

NOVEMBER 15, 2024

For automatic model evaluation jobs, you can either use built-in datasets across three predefined metrics (accuracy, robustness, toxicity) or bring your own datasets. For early detection, implement custom testing scripts that run toxicity evaluations on new data and model outputs continuously.

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APIs Government Best practices Metrics 95

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 105

Technology Scripts Engineering Entertainment 105

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.

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Scripts Engineering Metrics APIs 80

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 120

Healthcare APIs Scripts Metrics 120

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.

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Scripts APIs Metrics Engineering 78

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.

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Scripts Engineering APIs Big data 73

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 103

Scripts Education Engineering Technology 103

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 103

Personalization APIs Scripts Technical Support 103

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.

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Real estate APIs Metrics Construction 114

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'

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AWS Machine Learning

MAY 8, 2023

To serve models, Triton supports various backends as engines to support the running and serving of various ML models for inference. With kernel auto-tuning, the engine selects the best algorithm for the target GPU, maximizing hardware utilization. Import the ONNX model into TensorRT and generate the TensorRT engine.

Engineering 85

Engineering APIs Best practices Scripts 85

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 95

Scripts Best practices Accountability Engineering 95

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 75

Scripts Engineering Metrics Transportation 75

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 74

Engineering APIs Scripts Education 74

AWS Machine Learning

SEPTEMBER 28, 2023

To effectively train this model, we establish an MLOps infrastructure to streamline the model development process by automating data preprocessing, feature engineering, hyperparameter tuning, and model selection. The model with the best accuracy metric is uploaded to the model registry. Let’s discuss the steps in more detail.

Engineering 98

Engineering Metrics Construction Government 98

AWS Machine Learning

NOVEMBER 21, 2023

REGION.amazonaws.com/sagemaker-matlab-training-r2023a:latest Open MATLAB and open the live script called PumpFaultClassificationMATLABSageMaker.mlx in folder examples/PumpFaultClassification. After checking the accuracy metrics for the locally-trained model, we can move the training into Amazon SageMaker.

Engineering 96

Engineering APIs Scripts Automotive 96

AWS Machine Learning

MARCH 15, 2024

To create these packages, run the following script found in the root directory: /build_mlops_pkg.sh Randy has held a variety of positions in the technology space, ranging from software engineering to product management. Prior to joining AWS, Arnab was a technology leader and previously held architect and engineering leadership roles.

Healthcare 110

Healthcare Big data Engineering Accountability 110

Kayako

MARCH 9, 2017

Through product testing you can build knowledge of the products your company offers and start to see it from the perspective of your engineers. Product testing helps me to understand the process of the Engineering team in deciding the roadmap. I took on a six-month support chat metrics project. Be the voice of the customer.

Customer Service 71

Customer Service Engineering Coaching Self service 71