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 101

Scripts Engineering Metrics Best practices 101

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 106

Scripts Engineering Metrics Big data 106

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 107

Scripts Big data Engineering SaaS 107

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 117

Benchmark Scripts Engineering Management 117

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

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 117

Scripts APIs Engineering industry standards 117

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 120

Scripts Engineering Government Management 120

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 107

Scripts APIs Engineering Finance 107

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 113

Scripts Engineering Metrics Management 113

CX Global Media

JUNE 20, 2017

If a customer service manager can easily use a drop-down toolkit to write scripts and create action items there is a greater chance for it to perform better. Rulai is a team of proven researchers, engineers and industry professionals with extensive track records in AI development. About Rulai.

Chatbots 168

Chatbots Contact Center Scripts Call Center 168

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 109

Scripts Engineering Accountability Enterprise 109

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

OCTOBER 28, 2024

Examples include financial systems processing transaction data streams, recommendation engines processing user activity data, and computer vision models processing video frames. A preprocessor script is a capability of SageMaker Model Monitor to preprocess SageMaker endpoint data capture before creating metrics for model quality.

Scripts 89

Scripts Metrics Engineering Analytics 89

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 112

Scripts Engineering Entertainment Healthcare 112

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

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 116

APIs Scripts Enterprise Engineering 116

AWS Machine Learning

FEBRUARY 13, 2024

Let’s demystify this using the following personas and a real-world analogy: Data and ML engineers (owners and producers) – They lay the groundwork by feeding data into the feature store Data scientists (consumers) – They extract and utilize this data to craft their models Data engineers serve as architects sketching the initial blueprint.

Accountability 114

Accountability Government Engineering Scripts 114

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 106

Scripts Engineering Best practices Enterprise 106

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 82

Scripts Engineering Accountability Consulting 82

AWS Machine Learning

MARCH 8, 2023

After the data is downloaded into the training instance, the custom training script performs data preparation tasks and then trains the ML model using the XGBoost Estimator. A Python script to connect to Secrets Manager to retrieve Snowflake credentials. All code for this post is available in the GitHub repo.

Scripts 114

Scripts Accountability Enterprise Management 114

AWS Machine Learning

MARCH 4, 2024

Media organizations can generate image captions or video scripts automatically. Imagine sophisticated conversational assistants providing fast and highly-contextual responses, picture personalized recommendation engines that seamlessly blend in relevant images, diagrams and associated knowledge to intuitively guide decisions.

Benchmark 135

Benchmark Finance Engineering Enterprise 135

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 107

APIs Scripts Real estate Accountability 107

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

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 83

Construction Scripts Engineering Accountability 83

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 99

Scripts Advertising Engineering Analytics 99

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 100

Scripts Engineering Best practices Construction 100

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.

Scripts 89

Scripts Metrics Construction Accountability 89

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 100

Engineering Benchmark Scripts Advertising 100

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 102

Scripts Construction Engineering APIs 102

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 120

Scripts Accountability Engineering Best practices 120

AWS Machine Learning

FEBRUARY 27, 2024

Model build pipeline The model build pipeline orchestrates the model’s lifecycle, beginning from preprocessing, moving through training, and culminating in being registered in the model registry: Preprocessing – Here, the SageMaker ScriptProcessor class is employed for feature engineering, resulting in the dataset the model will be trained on.

Best practices 120

Best practices Engineering Scripts Analytics 120

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 82

Scripts Engineering Benchmark Best practices 82

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. Next, focus on building the components of the architecture—such as training and preprocessing scripts—within SageMaker Studio or Jupyter Notebook.

Management 119

Management APIs Engineering Government 119

AWS Machine Learning

NOVEMBER 30, 2023

As with all IDE applications in SageMaker Studio, ML developers and engineers can select the underlying compute on demand, and swap it based on their needs without losing data. A lifecycle configuration script to run in case you want customize your environment at app creation. Choose Open CodeEditor to launch the IDE.

Scripts 111

Scripts Engineering Management Accountability 111

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 90

Engineering Scripts Technology Analytics 90

AWS Machine Learning

JULY 15, 2024

We use the custom terminology dictionary to compile frequently used terms within video transcription scripts. in Mechanical Engineering from the University of Notre Dame. Max Goff is a data scientist/data engineer with over 30 years of software development experience. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud.

Engineering 104

Engineering Entertainment Big data APIs 104

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