AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. No change to the legacy code is required.

Scripts 136

Scripts APIs Engineering Construction 136

AWS Machine Learning

OCTOBER 24, 2024

Agentic workflows are a fresh new perspective in building dynamic and complex business use- case based workflows with the help of large language models (LLM) as their reasoning engine or brain. The agent can recommend software and architecture design best practices using the AWS Well-Architected Framework for the overall system design.

APIs 95

APIs Best practices Construction Engineering 95

AWS Machine Learning

OCTOBER 14, 2024

Amazon OpenSearch Service is a powerful, highly flexible search engine that allows users to retrieve data based on a variety of lexical and semantic retrieval approaches. This script can be acquired directly from Amazon S3 using aws s3 cp s3://aws-blogs-artifacts-public/artifacts/ML-16363/deploy.sh. What is the engine size of this car?

Chatbots 125

Chatbots APIs Engineering Healthcare 125

AWS Machine Learning

FEBRUARY 27, 2024

However, even though the pace of innovation is high, the different teams had developed their own ways of working and were in search of a new MLOps best practice. We decided to put in a joint effort to build a prototype on a best practice for MLOps. The pipeline is scheduled to run at regular intervals.

Best practices 133

Best practices Engineering Scripts Analytics 133

AWS Machine Learning

JULY 26, 2023

We’ll cover fine-tuning your foundation models, evaluating recent techniques, and understanding how to run these with your scripts and models. As an added bonus, we’ll walk you through a Stable Diffusion deep dive, prompt engineering best practices, standing up LangChain, and more. More of a reader than a video consumer?

Scripts 93

Scripts Engineering Benchmark Best practices 93

AWS Machine Learning

NOVEMBER 22, 2023

In this post, we discuss how M5 was able to reduce the cost to train their models by 30%, and share some of the best practices we learned along the way. Training script Before starting with model training, we need to make changes to the training script to make it XLA compliant.

Scripts 116

Scripts Engineering Best practices Construction 116

AWS Machine Learning

JUNE 21, 2023

Lifecycle configurations are shell scripts triggered by Studio lifecycle events, such as starting a new Studio notebook. This enables you to apply DevOps best practices and meet safety, compliance, and configuration standards across all AWS accounts and Regions. For Windows, use.cdk-venv/Scripts/activate.bat.

Construction 98

Construction Scripts Engineering Accountability 98

AWS Machine Learning

NOVEMBER 15, 2024

For early detection, implement custom testing scripts that run toxicity evaluations on new data and model outputs continuously. Integrating scheduled toxicity assessments and custom testing scripts into your development pipeline helps you continuously monitor and adjust model behavior.

APIs 90

APIs Government Best practices Metrics 90

AWS Machine Learning

AUGUST 1, 2024

By demonstrating the process of deploying fine-tuned models, we aim to empower data scientists, ML engineers, and application developers to harness the full potential of FMs while addressing unique application requirements. The scripts for fine-tuning and evaluation are available on the GitHub repository.

APIs 123

APIs Scripts Real estate Accountability 123

AWS Machine Learning

SEPTEMBER 23, 2024

Throughout this exercise, you use Amazon Q Developer in SageMaker Studio for various stages of the development lifecycle and experience firsthand how this natural language assistant can help even the most experienced data scientists or ML engineers streamline the development process and accelerate time-to-value. Choose Create configuration.

Engineering 85

Engineering Scripts Automotive Advertising 85

Comm100

NOVEMBER 25, 2015

The beauty of rule-based auto-invitations is that once you have the proper scripts in place, you can send out the appropriate response that is optimally designed to get a response from a customer. Having engaging scripts is a priority when you’re dealing with proactive chat. Use Scripts that Speak to Real People.

Best practices 41

Best practices Scripts Finance Abandon rate 41

AWS Machine Learning

OCTOBER 21, 2024

If you have a different format, you can potentially use Llama convert scripts or Mistral convert scripts to convert your model to a supported format. The fine-tuning scripts are based on the scripts provided by the Llama fine-tuning repository. degree in Electrical Engineering. from sagemaker.s3

APIs 139

APIs Scripts Finance Real estate 139

AWS Machine Learning

OCTOBER 6, 2023

For instance, if a customer is searching for a “cotton crew neck t-shirt with a logo in front,” auto-tagging and attribute generation enable the search engine to pinpoint products that match not merely the broader “t-shirt” category, but also the specific attributes of “cotton” and “crew neck.” read()) Path("clip/serving.properties").open("w").write(

Scripts 122

Scripts Engineering Best practices Enterprise 122

AWS Machine Learning

NOVEMBER 14, 2022

We provide a step-by-step guide to deploy your SageMaker trained model to Graviton-based instances, cover best practices when working with Graviton, discuss the price-performance benefits, and demo how to deploy a TensorFlow model on a SageMaker Graviton instance. The inference script URI is needed in the INFERENCE_SCRIPT_S3_LOCATION.

Scripts 92

Scripts APIs Best practices Engineering 92

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 124

Scripts Accountability Best practices Engineering 124

Hodusoft

APRIL 17, 2024

In this blog post, we will discuss everything about auto attendants starting from what they are, how they work, the pros and cons of using auto attendants, how to set up an auto attendant, and how to include scripts. Pros of Using Auto Attendant Cons of Auto Attendant Auto Attendant Scripts – What to Record? Read on to know more.

Real estate 52

Real estate Scripts Interactive Voice Response First call resolution 52

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 97

Engineering APIs Best practices Scripts 97

AWS Machine Learning

JUNE 4, 2024

The workflow includes the following steps: The user runs the terraform apply The Terraform local-exec provisioner is used to run a Python script that downloads the public dataset DialogSum from the Hugging Face Hub. file you have been working in and add the terraform_data resource type, uses a local provisioner to invoke your Python script.

Scripts 132

Scripts Accountability Engineering Best practices 132

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). Analyze the results and deploy the best-performing model. Training script template The AutoML workflow in this post is based on scikit-learn preprocessing pipelines and algorithms.

Scripts 112

Scripts Best practices Accountability Engineering 112

AWS Machine Learning

OCTOBER 2, 2023

For more information about best practices, refer to the AWS re:Invent 2019 talk, Build accurate training datasets with Amazon SageMaker Ground Truth. Use the scripts created in step one as part of the processing and training steps. We started by creating command line scripts from the experiment code.

Scripts 118

Scripts Construction Engineering APIs 118

AWS Machine Learning

NOVEMBER 16, 2022

For an example account structure to follow organizational unit best practices to host models using SageMaker endpoints across accounts, refer to MLOps Workload Orchestrator. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices. Prerequisites.

Accountability 93

Accountability Best practices Scripts Engineering 93

AWS Machine Learning

MAY 30, 2023

Data Wrangler reduces the time it takes to aggregate and prepare data by simplifying the process of data source integration and feature engineering using a single visual interface and a fully distributed data processing environment. This is a great way to test your scripts before running them in a SageMaker managed environment.

Scripts 74

Scripts Best practices Metrics APIs 74

AWS Machine Learning

MAY 30, 2023

Optimize notebook instance cost SageMaker notebooks are suitable for ML model development, which includes interactive data exploration, script writing, prototyping of feature engineering, and modeling. Consider the following best practices to help reduce the cost of your notebook instances. For example, ml.t2.medium

Best practices 91

Best practices Scripts Accountability Engineering 91

AWS Machine Learning

APRIL 22, 2024

Typically, HyperPod clusters are used by multiple users: machine learning (ML) researchers, software engineers, data scientists, and cluster administrators. 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.

Scripts 112

Scripts Engineering Management Benchmark 112

AWS Machine Learning

JANUARY 17, 2023

This development approach can be used in combination with other common software engineering best practices such as automated code deployments, tests, and CI/CD pipelines. You have permissions to create and deploy AWS CDK and AWS CloudFormation resources as defined in the scripts outlined in the post. AWS CDK scripts.

Construction 93

Construction Engineering Automotive Scripts 93

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 118

Engineering APIs Scripts Entertainment 118

AWS Machine Learning

APRIL 13, 2023

In this post, we illustrate how Accenture uses CodeWhisperer in practice to improve developer productivity. Accenture is using Amazon CodeWhisperer to accelerate coding as part of our software engineering best practices initiative in our Velocity platform,” says Balakrishnan Viswanathan, Senior Manager, Tech Architecture at Accenture.

Scripts 94

Scripts Engineering Consulting Consulting 94

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 89

Scripts Automotive Engineering Enterprise 89

AWS Machine Learning

DECEMBER 22, 2023

The primary objective of prompt engineering is to elicit specific and accurate responses from the FM. Different prompt engineering techniques include: Zero-shot – A single question is presented to the model without any additional clues. Solution Deployment Automation Script The preceding source./create-stack.sh create-stack.sh

Scripts 124

Scripts Chatbots Accountability Multi-channel support 124

AWS Machine Learning

SEPTEMBER 14, 2023

Integrating security in our workflow Following the best practices of the Security Pillar of the Well-Architected Framework , Amazon Cognito is used for authentication. Internal documents in this context can include generic customer support call scripts, playbooks, escalation guidelines, and business information.

APIs 120

APIs Healthcare Scripts Engineering 120

AWS Machine Learning

JULY 5, 2022

Data Wrangler is a capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications via a visual interface. LCC scripts are triggered by Studio lifecycle events, such as starting a new Studio notebook. Apply the script (see below). Solution overview.

Scripts 91

Scripts Engineering APIs Consulting 91

AWS Machine Learning

AUGUST 29, 2023

Refer to Operating model for best practices regarding a multi-account strategy for ML. The pipeline will automatically upload Python scripts from the GitLab repository and store output files or model artifacts from each step in the appropriate S3 path.

Scripts 85

Scripts APIs Enterprise Accountability 85

AWS Machine Learning

NOVEMBER 14, 2024

It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices. Model training You can continue experimenting with different feature engineering techniques in your JupyterLab environment and track your experiments in MLflow. fit_transform(y). Madhubalasri B.

Government 90

Government Management APIs Accountability 90

Inbenta

MARCH 20, 2020

It then uses a basic analysis engine in order to process those keywords and to match them with a pre-loaded response. Here are some tips and best practices to guide you in this delicate task. A script for transactional queries. Keyword-Based Chatbots. So how do you design a bot that people will love talking to?

Chatbots 90

Chatbots Scripts Best practices Engineering 90

AWS Machine Learning

AUGUST 8, 2023

install-scripts chmod +x install-history-server.sh./install-history-server.sh script and attach it to an existing SageMaker Studio domain. install-scripts chmod +x uninstall-history-server.sh./uninstall-history-server.sh The sm-spark-cli enables managing Spark History Server without leaving SageMaker Studio.

Scripts 78

Scripts Engineering Big data Management 78

AWS Machine Learning

APRIL 23, 2024

The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. Enterprise Solutions Architect at AWS, experienced in Software Engineering, Enterprise Architecture, and AI/ML. Nitin Eusebius is a Sr.

APIs 128

APIs Enterprise Scripts Accountability 128

AWS Machine Learning

JANUARY 11, 2023

Moreover, to present a comprehensive and reusable way to productionize ML models by adopting MLOps practices, we introduce the concept of infrastructure as code (IaC) during the entire MLOps lifecycle of the prototype. In this prototype, we follow a fully automated provisioning methodology in accordance with IaC best practices.

Scripts 77

Scripts Finance Enterprise Engineering 77