AWS Machine Learning

MARCH 11, 2025

How do Amazon Nova Micro and Amazon Nova Lite perform against GPT-4o mini in these same metrics? Vector database FloTorch selected Amazon OpenSearch Service as a vector database for its high-performance metrics. script provided with the CRAG benchmark for accuracy evaluations. Each provisioned node was r7g.4xlarge,

Benchmark 88

Benchmark APIs Enterprise Scripts 88

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 75

Scripts Metrics Engineering Accountability 75

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 94

Education Engineering APIs Enterprise 94

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

SEPTEMBER 7, 2023

In February 2022, Amazon Web Services added support for NVIDIA GPU metrics in Amazon CloudWatch , making it possible to push metrics from the Amazon CloudWatch Agent to Amazon CloudWatch and monitor your code for optimal GPU utilization. You can add or remove any metrics as needed. Then we explore two architectures.

Metrics 101

Metrics APIs Management Engineering 101

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 105

Scripts Engineering Metrics Best practices 105

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 110

Scripts Engineering Metrics Big data 110

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 77

Chatbots Metrics Scripts APIs 77

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 117

Scripts Engineering Metrics Management 117

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 79

Enterprise Engineering APIs Accountability 79

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

FEBRUARY 19, 2024

Integration with backend engines – Model servers have integrations with backend frameworks like DeepSpeed and FasterTransformer to partition large models and run highly optimized inference. Multi-engine support – DJL Serving can simultaneously host models using different frameworks (such as PyTorch and TensorFlow).

APIs 107

APIs Engineering Scripts Metrics 107

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 101

Engineering Metrics Scripts Construction 101

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 99

Scripts Metrics Management Accountability 99

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 123

Management APIs Engineering Government 123

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 106

Engineering APIs Scripts Entertainment 106

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 116

Scripts Healthcare Metrics Finance 116

Balto

JANUARY 17, 2025

Youre dealing with metrics and KPIs, sure, but also human emotions, tech stacks, and rapidly evolving customer expectations. Monitoring call center performance metrics is crucial for ensuring smooth customer interactions and motivated agents. Ensuring compliance with scripts and regulatory guidelines. Flip the script.

Best practices 52

Best practices Call Center Metrics Management 52

Balto

JANUARY 18, 2025

Youre dealing with metrics and KPIs, sure, but also human emotions, tech stacks, and rapidly evolving customer expectations. Monitoring call center performance metrics is crucial for ensuring smooth customer interactions and motivated agents. Ensuring compliance with scripts and regulatory guidelines. Flip the script.

Best practices 52

Best practices Call Center Metrics Management 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 105

Scripts Construction Engineering APIs 105

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 104

Scripts Engineering Best practices Construction 104

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 102

Construction Metrics Scripts Engineering 102

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 83

Scripts Engineering Metrics Management 83

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 113

Metrics APIs Scripts Construction 113

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.

Engineering 123

Engineering Wait times Metrics Accountability 123

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 112

Scripts APIs Entertainment Engineering 112

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 110

Metrics Scripts Benchmark Enterprise 110

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 85

Scripts Engineering Metrics APIs 85

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 112

Scripts Accountability Best practices Engineering 112

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.

Best practices 111

Best practices Telemarketing outsourcing B2B 111

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 124

Healthcare APIs Scripts Metrics 124

AWS Machine Learning

APRIL 29, 2024

Metaflow overview Metaflow was originally developed at Netflix to enable data scientists and ML engineers to build ML/AI systems quickly and deploy them on production-grade infrastructure. Through Metaflow and the deployment scripts provided in this post, you should be able to get started with Trainium with ease.

APIs 112

APIs Engineering Scripts Management 112

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 78

Scripts Engineering APIs Big data 78

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 84

Scripts APIs Metrics Engineering 84

AWS Machine Learning

NOVEMBER 24, 2023

SageMaker Canvas now collects Amazon CloudWatch metrics that provide insight into app usage and idleness. This allows an administrator to define a solution that reads the idleness metric, compares it against a threshold, and defines a specific logic for automatic shutdown.

APIs 104

APIs Metrics Engineering Scripts 104

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 113

Engineering Gamification Big data Scripts 113