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 96

Scripts APIs Engineering Finance 96

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

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 84

Scripts Engineering Management Benchmark 84

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

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 75

Scripts Engineering Accountability Consulting 75

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 97

Scripts Engineering Accountability Enterprise 97

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 92

Scripts Engineering Best practices Construction 92

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 72

Scripts Engineering APIs Big data 72

AWS Machine Learning

APRIL 18, 2024

Amazon Bedrock empowers teams to generate Terraform and CloudFormation scripts that are custom fitted to organizational needs while seamlessly integrating compliance and security best practices. Traditionally, cloud engineers learning IaC would manually sift through documentation and best practices to write compliant IaC scripts.

Scripts 94

Scripts Best practices Engineering Accountability 94

AWS Machine Learning

JANUARY 9, 2023

using open source or commercial-off-the-shelf search engines, then you’re probably familiar with the inherent accuracy challenges involved in getting relevant search results. You need your search engine to be smarter so it can rank documents based on matching the meaning or semantics of the content to the intention of the user’s query.

Scripts 78

Scripts APIs Engineering Transportation 78

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 102

Accountability Government Engineering Scripts 102

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 97

Scripts Accountability Engineering Best practices 97

AWS Machine Learning

APRIL 19, 2023

Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts. Ideally, we instead want to load the model PyTorch scripts, extract the features from model input, and run model inference entirely in Java. They use the DJL PyTorch engine to initialize the model predictor.

Engineering 74

Engineering APIs Scripts Education 74

AWS Machine Learning

APRIL 11, 2023

Next the script will install packages iproute and jq , which will be used in the following step. Next the script will install packages iproute and jq , which will be used in the following step. Note that while developing, it might be helpful to automatically rerun the script when app.py sh setup.sh sh setup.sh

Scripts 72

Scripts Automotive Engineering Healthcare 72

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 90

Scripts Construction Engineering APIs 90

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 134

Benchmark Finance Engineering Enterprise 134

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 222

Customer Experience Contact Center Engineering Scripts 222

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 Engineering Education 127

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 107

Management APIs Engineering Government 107

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). Training script template The AutoML workflow in this post is based on scikit-learn preprocessing pipelines and algorithms. Note that individual pipeline scripts are not created yet at this point.

Scripts 85

Scripts Best practices Accountability Engineering 85

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 110

Best practices Engineering Scripts Analytics 110

CSM Magazine

APRIL 17, 2024

Tools powered by AI technology like ChatGPT can help speed case resolution by identifying familiar types of inquiries and responding with automated emails and/or scripts. In some cases, you may not even need a human to do certain tasks – which is where the integration of AI often comes into play.

Customer Service 59

Customer Service Scripts Banking Analytics 59

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 79

Scripts Engineering APIs Consulting 79

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 73

Scripts Automotive Engineering Enterprise 73

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

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 66

Scripts Engineering Big data Management 66

AWS Machine Learning

SEPTEMBER 28, 2022

Amazon SageMaker Pipelines allows data scientists and machine learning (ML) engineers to automate training workflows, which helps you create a repeatable process to orchestrate model development steps for rapid experimentation and model retraining. Define a processing script and processing step. Model building. 7*len(X)), int(.85*len(X))])

Scripts 70

Scripts Engineering APIs Management 70

AWS Machine Learning

OCTOBER 4, 2022

Developers usually test their processing and training scripts locally, but the pipelines themselves are typically tested in the cloud. From a very high level, the ML lifecycle consists of many different parts, but the building of an ML model usually consists of the following general steps: Data cleansing and preparation (feature engineering).

Scripts 71

Scripts Engineering Management APIs 71

AWS Machine Learning

NOVEMBER 21, 2023

REGION.amazonaws.com/sagemaker-matlab-training-r2023a:latest Open MATLAB and open the live script called PumpFaultClassificationMATLABSageMaker.mlx in folder examples/PumpFaultClassification. The training function should be provided at the bottom of the MATLAB live script. amazonaws.com docker push ACCOUNT.dkr.ecr.

Engineering 85

Engineering APIs Scripts Automotive 85

AWS Machine Learning

DECEMBER 12, 2023

After downloading the latest Neuron NeMo package, use the provided neox and pythia pre-training and fine-tuning scripts with optimized hyper-parameters and execute the following for a four node training. Amith (R) Mamidala is the senior machine learning application engineering at AWS Annapurna Labs.

Scripts 94

Scripts Engineering Big data Management 94

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 102

Scripts Accountability Enterprise Management 102

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 74

Construction Engineering Automotive Scripts 74

AWS Machine Learning

FEBRUARY 20, 2024

Trusted by the biggest names in entertainment, ZOO Digital delivers high-quality localization and media services at scale, including dubbing, subtitling, scripting, and compliance. git+[link] ffmpeg-python Create an inference script to load the models and run inference Next, we create a custom inference.py

Technology 93

Technology Scripts Engineering Entertainment 93

AWS Machine Learning

APRIL 13, 2023

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. In this post, we illustrate how Accenture uses CodeWhisperer in practice to improve developer productivity.

Scripts 83

Scripts Engineering Consulting Consulting 83

AWS Machine Learning

OCTOBER 17, 2022

It is made of shell scripts that do the following based on the option. For Studio (Option A), the shell script does the following: Installs code-server on the Jupyter Server for a user profile. For SageMaker notebook instances (Option B), the shell script does the following: Installs code-server. chmod +x install-codeserver.sh./install-codeserver.sh

Scripts 82

Scripts Engineering Management Accountability 82

AWS Machine Learning

FEBRUARY 13, 2024

Each worker then proceeds with the forward and backward pass defined in your training script on each GPU. In our entire partnership, AWS has set the bar on customer obsession and delivering results—working with us the whole way to realize promised benefits.” – Keshav Kumar, Head of Engineering at BigBasket.

Engineering 97

Engineering Gamification Scripts Big data 97

COPC

OCTOBER 26, 2023

But it’s much more than enlisting engineers to call LLM APIs. Team: Beyond engineers, various roles contribute to the AI assistant’s creation. LLM interactions differ from prior generations of chatbots, which required scripted interactions. Developing an LLM AI assistant involves multiple ingredients.

Technology 77

Technology Customer Experience APIs Consulting 77