AWS Machine Learning

NOVEMBER 13, 2024

script to automatically copy the cdk configuration parameters to a configuration file by running the following command, still in the /cdk folder: /scripts/postdeploy.sh After the deployment is complete, you have two options. The preferred option is to use the provided postdeploy.sh

APIs 131

APIs Scripts Accountability Entertainment 131

AWS Machine Learning

MARCH 15, 2023

We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. SageMaker runs the legacy script inside a processing container. We assume the involvement of two personas: a data scientist and an MLOps engineer.

Scripts 143

Scripts APIs Engineering Construction 143

AWS Machine Learning

JULY 29, 2022

Build your training script for the Hugging Face SageMaker estimator. script to use with Script Mode and pass hyperparameters for training. Thanks to our custom inference script hosted in a SageMaker endpoint, we can generate several summaries for this review with different text generation parameters. If we use an ml.g4dn.16xlarge

Scripts 100

Scripts APIs Big data Engineering 100

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 110

APIs Government Best practices Metrics 110

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

FEBRUARY 25, 2025

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. A simple architectural representation of the steps involved is shown in the following figure.

Enterprise 97

Enterprise Engineering APIs Accountability 97

Callminer

FEBRUARY 4, 2021

Older citizens, the unhealthy, and those in low-income areas have always been targets for social engineering. Now, so many more people are experiencing increased vulnerability, and hackers and social engineering cybercriminals are very aware. Second, inform customers of what you’ll never ask of them.

Call Center 345

Call Center Contact Center Finance Consulting 345

AWS Machine Learning

FEBRUARY 12, 2025

We also included a data exploration script to analyze the length of input and output tokens. About the authors Daniel Zagyva is a Senior ML Engineer at AWS Professional Services. For demonstration purposes, we select 3,000 samples and split them into train, validation, and test sets.

Scripts 77

Scripts Metrics Engineering Accountability 77

AWS Machine Learning

JANUARY 24, 2025

In the preceding architecture diagram, AWS WAF is integrated with Amazon API Gateway to filter incoming traffic, blocking unintended requests and protecting applications from threats like SQL injection, cross-site scripting (XSS), and DoS attacks. This can lead to privacy and confidentiality violations.

APIs 112

APIs Scripts Best practices Management 112

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 123

Scripts Engineering Metrics Best practices 123

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

OCTOBER 5, 2023

We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw. For example, to use the RedPajama dataset, use the following command: wget [link] python nemo/scripts/nlp_language_modeling/preprocess_data_for_megatron.py

Scripts 125

Scripts Big data Engineering SaaS 125

AWS Machine Learning

JULY 11, 2024

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. A GitHub account with a repository to store the generated Terraform scripts.

Scripts 137

Scripts APIs Engineering industry standards 137

Beyond Philosophy

OCTOBER 13, 2022

For example, expenses related to sending an engineer to a customer site at British Telecom would have decreased. The cost of sending an engineer to a customer site was about £40 ($40). If the engineers brought the wrong part and went to see the customer, that’s a lot of money wasted.

Customer Experience 221

Customer Experience Contact Center Engineering Scripts 221

AWS Machine Learning

MAY 15, 2024

ONNX Runtime is the runtime engine used for model inference and training with ONNX. 1014-aws kernel) The ONNX Runtime repo provides inference benchmarking scripts for transformers-based language models. The scripts support a wide range of models, frameworks, and formats. Jammy with 6.5.0-1014-aws instead of 1.17.0 torch==2.2.1

Benchmark 133

Benchmark Scripts Engineering Management 133

AWS Machine Learning

SEPTEMBER 20, 2023

SageMaker Studio allows data scientists, ML engineers, and data engineers to prepare data, build, train, and deploy ML models on one web interface. SageMaker is a comprehensive ML service enabling business analysts, data scientists, and MLOps engineers to build, train, and deploy ML models for any use case, regardless of ML expertise.

Scripts 129

Scripts Engineering Accountability Enterprise 129

AWS Machine Learning

DECEMBER 22, 2023

With these updates to SMP’s APIs, you can now realize the performance benefits of SageMaker and the SMP library without overhauling your existing PyTorch FSDP training scripts. For more information on how to enable SMP with your existing PyTorch FSDP training scripts, refer to Get started with SMP.

Scripts 121

Scripts APIs Engineering Finance 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

JUNE 16, 2023

They had several skilled engineers and scientists building insightful models that improved the quality of risk analysis on their platform. SambaSafety’s data science team maintained several script-like artifacts as part of their development workflow. The challenges faced by this team were not related to data science.

Scripts 104

Scripts Engineering Accountability Consulting 104

AWS Machine Learning

JULY 2, 2024

An Amazon OpenSearch Serverless vector engine to store enterprise data as vectors to perform semantic search. Amazon Bedrock retrieves relevant data from the vector store (using the vector engine for OpenSearch Serverless ) using hybrid search. You can also complete these steps by running the script cognito-create-testuser.sh

APIs 139

APIs Scripts Enterprise Engineering 139

OrecX

JANUARY 27, 2022

Real-Time Agent Guidance - Audio streaming software can feed recorded audio data right to a speech analytics engine which can tag and analyze the data to add meaning and structure. Likewise, the system can automatically provide script guidance to the agent to further mitigate potential problems.

Scripts 127

Scripts Analytics Education Contact Center 127

AWS Machine Learning

NOVEMBER 30, 2023

Solution overview To deploy your SageMaker HyperPod, you first prepare your environment by configuring your Amazon Virtual Private Cloud (Amazon VPC) network and security groups, deploying supporting services such as FSx for Lustre in your VPC, and publishing your Slurm lifecycle scripts to an S3 bucket. Choose Create role. Choose Save.

Scripts 121

Scripts Engineering Government Management 121

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 126

Scripts Engineering Best practices Enterprise 126

AWS Machine Learning

JUNE 21, 2023

Lifecycle configurations are shell scripts triggered by Studio lifecycle events, such as starting a new Studio notebook. For Windows, use.cdk-venv/Scripts/activate.bat. For PowerShell, use.cdk-venv/Scripts/activate.ps1. About the Authors Cory Hairston is a Software Engineer with the Amazon ML Solutions Lab.

Construction 103

Construction Scripts Engineering Accountability 103

AWS Machine Learning

AUGUST 4, 2022

This is a guest post by Viktor Enrico Jeney, Senior Machine Learning Engineer at Adspert. The repricing ML model is a Scikit-Learn Random Forest implementation in SageMaker Script Mode, which is trained using data available in the S3 bucket (the analytics layer). This may be different to the partitioning used on the stage layer.

Scripts 121

Scripts Advertising Engineering Analytics 121

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 96

Scripts Engineering APIs Big data 96

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 130

Scripts APIs Entertainment Engineering 130

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 125

APIs Scripts Real estate Accountability 125

AWS Machine Learning

NOVEMBER 27, 2023

To use the TensorRT-LLM library, choose the TensorRT-LLM DLC from the available LMI DLCs and set engine=MPI among other settings such as option.model_id. To use SmoothQuant, set option.quantize=smoothquan t with engine = DeepSpeed in serving.properties. Qing Lan is a Software Development Engineer in AWS.

Engineering 120

Engineering Benchmark Scripts Advertising 120

AWS Machine Learning

FEBRUARY 14, 2024

With your Python environment activated, run the following command: cdk synth Run the following command to deploy the AWS CDK: cdk deploy Run the following command to run the post-deployment script: python scripts/post_deployment_script.py CD into the scripts directory in the repository. script located in the GitHub repository.

Scripts 130

Scripts Engineering Entertainment Healthcare 130

AWS Machine Learning

DECEMBER 14, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. In line with this mission, Talent.com collaborated with AWS to develop a cutting-edge job recommendation engine driven by deep learning, aimed at assisting users in advancing their careers.

Engineering 112

Engineering Scripts Technology Analytics 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.

Scripts 121

Scripts Construction Engineering APIs 121

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 98

Scripts Engineering Benchmark Best practices 98

CSM Magazine

SEPTEMBER 6, 2023

No one wants to waste time calling a helpline number and dealing with an agent who follows a script. Many websites fail to consider the importance of proper search engine optimization and the aspects it entails. They can also help improve your website’s visibility in relevant search engine results, leading to more organic traffic.

Customer Care 98

Customer Care Scripts Engineering outsourcing 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 121

Scripts Accountability Best practices Engineering 121

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 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 98

Scripts Engineering APIs Consulting 98