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

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 129

Scripts APIs Engineering Finance 129

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 131

Scripts Big data Engineering SaaS 131

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

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 137

Benchmark Scripts Engineering Management 137

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 117

Scripts Metrics Engineering Analytics 117

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

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 134

Scripts Engineering Metrics Management 134

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 132

Scripts Engineering Accountability Enterprise 132

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 109

Scripts Engineering Accountability Consulting 109

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 130

Scripts Engineering Government Management 130

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 134

Scripts Engineering Entertainment Healthcare 134

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 131

Scripts APIs Entertainment Engineering 131

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 137

APIs Scripts Enterprise Engineering 137

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 107

Construction Scripts Engineering Accountability 107

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

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 131

Scripts Engineering Best practices Enterprise 131

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 125

Scripts Advertising Engineering Analytics 125

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 131

Scripts Chatbots Accountability Multi-channel support 131

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 131

APIs Scripts Real estate Accountability 131

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 126

Engineering Benchmark Scripts Advertising 126

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 118

Engineering Scripts Technology Analytics 118

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 134

Accountability Government Engineering Scripts 134

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 127

Scripts Construction Engineering APIs 127

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 135

Scripts Accountability Enterprise Management 135

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 122

Scripts Engineering Best practices Construction 122

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 137

Management APIs Engineering Government 137

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 129

Scripts Accountability Best practices Engineering 129

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 93

Scripts Engineering APIs Big data 93

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 101

Government Banking Accountability Engineering 101

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 129

Engineering Entertainment Big data APIs 129

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 122

Scripts Engineering Management Benchmark 122

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 23, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. The system is developed by a team of dedicated applied machine learning (ML) scientists, ML engineers, and subject matter experts in collaboration between AWS and Talent.com.

Engineering 124

Engineering Metrics Scripts Construction 124

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 97

Scripts Engineering Benchmark Best practices 97

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 124

Engineering APIs Scripts Entertainment 124

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 132

Scripts Engineering Management Accountability 132