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

Balto

JANUARY 3, 2025

When implemented strategically, call monitoring becomes a growth engine that drives customer satisfaction, boosts agent performance, and aligns customer experience with broader business goals. Agents perform best when they understand how their performance is being measured and what is expected of them.

Best practices 52

Best practices Call Center First call resolution Coaching 52

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 120

Best practices Engineering Scripts Analytics 120

AWS Machine Learning

JULY 11, 2024

In the diverse toolkit available for deploying cloud infrastructure, Agents for Amazon Bedrock offers a practical and innovative option for teams looking to enhance their infrastructure as code (IaC) processes. Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks.

Scripts 117

Scripts APIs Engineering industry standards 117

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 42

Best practices Scripts Finance Abandon rate 42

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

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 100

Scripts Engineering Best practices Construction 100

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 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

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. 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 83

Construction Scripts Engineering Accountability 83

AWS Machine Learning

NOVEMBER 22, 2024

Challenges in data management Traditionally, managing and governing data across multiple systems involved tedious manual processes, custom scripts, and disconnected tools. As producers, data engineers in these accounts are responsible for creating, transforming, and managing data assets that will be cataloged and governed by Amazon DataZone.

Government 80

Government Banking Accountability Engineering 80

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

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

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 81

Scripts APIs Best practices Engineering 81

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 102

Scripts Construction Engineering APIs 102

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

CallSource Insights

MARCH 6, 2019

Search Engine Optimization – better known as SEO – is top of most marketers’ minds nowadays. This “fake fact” persists in the minds of folks who do not stay up-to-date in best SEO practices. DNI doesn’t conflict with any of SEO best practices since the script masks the actual number tied to the business.

Engineering 75

Engineering Scripts Best practices Advertising 75

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 82

Accountability Best practices Scripts Engineering 82

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

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 95

Scripts Best practices Accountability Engineering 95

Up Your Service

NOVEMBER 23, 2015

Four Rules for Engineering a Service Revolution. We call these “Four Rules for Engineering a Service Revolution” Rule #1: Don’t start with customer-facing employees. Rule #2: Don’t start by training people on specific service skills, scripts and procedures. Watch a recording of this high-content webinar now.

Engineering 45

Engineering Scripts Education Sales 45

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 95

APIs Government Best practices Metrics 95

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 108

Scripts Chatbots Accountability Multi-channel support 108

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 103

APIs Healthcare Scripts Engineering 103

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 114

APIs Enterprise Scripts Accountability 114

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 95

Scripts Engineering Management Benchmark 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 109

Chatbots APIs Engineering Healthcare 109

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 84

Scripts Engineering Consulting Consulting 84

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 80

Scripts Engineering APIs Consulting 80

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 79

Best practices Scripts Accountability Engineering 79

Tethr

FEBRUARY 14, 2019

Experience Engineering : Low-effort companies know that customer effort is only partially a function of what the customer has to do to get an issue resolved—it’s much more a function of how the customer feels about what they have to do. low-effort companies know that you can’t script your way to victory in this new world.

Customer Experience 84

Customer Experience Scripts Engineering Customer effort 84

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 78

Construction Engineering Automotive Scripts 78

Totango

AUGUST 23, 2022

Touchpoints may involve any medium you use to interact with customers, including: Search engine marketing. This may occur through encountering your brand or product through a search engine result, a search engine ad, a social media post, a video, a review on a technology website, word-of-mouth or other means. Blog content.

B2B 119

B2B Journey mapping SaaS Upselling 119

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 82

APIs Best practices Construction Engineering 82

AWS Machine Learning

MARCH 23, 2023

To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker. We perform data exploration and feature engineering using a SageMaker notebook, and then perform model training using a SageMaker training job.

Scripts 103

Scripts APIs Government Analytics 103

AWS Machine Learning

MAY 1, 2024

Regular checkpointing helps mitigate wasted compute time, but engineering teams managing their own infrastructure must still closely monitor their workloads and be prepared to remediate a failure at all hours to minimize training downtime. This also enables engineering teams to monitor and react to failures at all hours.

Scripts 99

Scripts Best practices Engineering Management 99