AWS Machine Learning

JANUARY 5, 2024

Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step. RMSE threshold: This step verifies the trained model metric (RMSE) against a defined threshold to decide whether to proceed towards endpoint deployment or reject this model.

Management 129

Management APIs Engineering Government 129

AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. In Part 1, we focus on creating accurate and reliable agents.

Best practices 94

Best practices APIs Metrics Accountability 94

AWS Machine Learning

OCTOBER 29, 2024

SageMaker Model Monitor emits per-feature metrics to Amazon CloudWatch , which you can use to set up dashboards and alerts. You can use cross-account observability in CloudWatch to search, analyze, and correlate cross-account telemetry data stored in CloudWatch such as metrics, logs, and traces from one centralized account.

Government 92

Government Metrics Accountability APIs 92

AWS Machine Learning

OCTOBER 12, 2022

This post introduces a solution included in the Amazon IDP workshop showcasing how to process documents to serve flexible business rules using Amazon AI services. Call the Amazon Textract analyze_document API using the Queries feature to extract text from the page. The sample dashboard includes basic metrics. About the authors.

APIs 92

APIs Construction Metrics Engineering 92

AWS Machine Learning

SEPTEMBER 26, 2024

This text-to-video API generates high-quality, realistic videos quickly from text and images. Set up the cluster To create the SageMaker HyperPod infrastructure, follow the detailed intuitive and step-by-step guidance for cluster setup from the Amazon SageMaker HyperPod workshop studio. Then manually delete the SageMaker notebook.

Scripts 113

Scripts APIs Metrics Management 113

AWS Machine Learning

OCTOBER 4, 2022

In short, the service delivers all the science, data handling, and resource management into a simple API call. After data has been imported, highly accurate time series models are created simply by calling an API. This step is encapsulated inside a Step Functions state machine that initiates the Forecast API to start model training.

APIs 86

APIs Analytics Transportation Metrics 86

AWS Machine Learning

AUGUST 21, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Engineering 122

Engineering APIs Metrics Customer Experience 122

AWS Machine Learning

MARCH 13, 2023

Finally, we use Amazon API Gateway as a way of integrating with our front end, the Ground Truth labeling application, to provide secure authentication to our backend. In the following figure, we show the ModelLatency metric natively emitted by SageMaker real-time inference endpoints.

Metrics 79

Metrics APIs Feedback Best practices 79

AWS Machine Learning

SEPTEMBER 18, 2023

It has APIs for common ML data preprocessing operations like parallel transformations, shuffling, grouping, and aggregations. It provides simple drop-in replacements for XGBoost’s train and predict APIs while handling the complexities of distributed data management and training under the hood.

Scripts 120

Scripts APIs Government Construction 120

AWS Machine Learning

JUNE 3, 2024

For Objective metric , leave as the default F1. F1 averages two important metrics: precision and recall. Review model metrics Let’s focus on the first tab, Overview. The advanced metrics suggest we can trust the resulting model. You can change the configuration later from the SageMaker Canvas UI or using SageMaker APIs.

Surveys 109

Surveys Metrics Analytics Engineering 109

AWS Machine Learning

JUNE 6, 2023

When selecting the AMI, follow the release notes to run this command using the AWS Command Line Interface (AWS CLI) to find the AMI ID to use in us-west-2 : #STEP 1.2 - This requires AWS CLI credentials to call ec2 describe-images api (ec2:DescribeImages). We added the following argument to the trainer API in train_sentiment.py

Scripts 80

Scripts APIs Benchmark Management 80

AWS Machine Learning

SEPTEMBER 29, 2022

The admin configures questions and answers in the Content Designer, and the UI sends requests to Amazon API Gateway to save the questions and answers. User interactions with the Bot Fulfillment function generate logs and metrics data, which are sent to Amazon Kinesis Data Firehose then to Amazon S3 for later data analysis.

Virtual Agent 78

Virtual Agent Call flow Interactive Voice Response Contact Center 78

AWS Machine Learning

FEBRUARY 9, 2023

billion metric tons per year. This land cover segmentation model can be run with a simple API call. He co-taught tutorials at ICML’17 and ICCV’19, and co-organized several workshops at NeurIPS, ICML, CVPR, ICCV on machine learning for autonomous driving, 3D vision and robotics, machine learning systems and adversarial machine learning.

Engineering 57

Engineering APIs Metrics Management 57

AWS Machine Learning

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. The CUDA API and SDK were first released by NVIDIA in 2007. GPU PBAs, 4% other PBAs, 4% FPGA, and 0.5%

Benchmark 93

Benchmark Banking Analytics Big data 93

ChurnZero

SEPTEMBER 30, 2021

Whenever the VP of Sales came to a meeting about numbers and data and metrics, whatever reporting, he never showed up without his sales operations. Do a workshop with your team for a few hours. When I was even rolling out a CS platform there, I had a data analyst doing all of the API stuff, helping with all of that.

Sales 52

Sales Education CRM Metrics 52

AWS Machine Learning

JANUARY 26, 2024

After you and your teams have a basic understanding of security on AWS, we strongly recommend reviewing How to approach threat modeling and then leading a threat modeling exercise with your teams starting with the Threat Modeling For Builders Workshop training program.

Best practices 137

Best practices Government Engineering Accountability 137

AWS Machine Learning

JULY 29, 2024

You can also either use the SageMaker Canvas UI, which provides a visual interface for building and deploying models without needing to write any code or have any ML expertise, or use its automated machine learning (AutoML) APIs for programmatic interactions.

APIs 102

APIs Scripts Benchmark Metrics 102

AWS Machine Learning

SEPTEMBER 18, 2024

It provides a unified interface for logging parameters, code versions, metrics, and artifacts, making it easier to compare experiments and manage the model lifecycle. From our experience, artifact server has some limitations, such as limits on artifact size (because of sending it using REST API).

APIs 112

APIs Engineering Analytics Marketing 112

AWS Machine Learning

SEPTEMBER 11, 2024

Amazon EKS creates a highly available endpoint for the managed Kubernetes API server that you use to communicate with your cluster (using tools like kubectl). The managed endpoint uses Network Load Balancer to load balance Kubernetes API servers. This VPC doesn’t appear in the customer account.

APIs 77

APIs Accountability Metrics Management 77

AWS Machine Learning

SEPTEMBER 19, 2024

Users initiate the process by calling the SageMaker control plane through APIs or command line interface (CLI) or using the SageMaker SDK for each individual step. Create a Weights & Biases API key to access the Weights & Biases dashboard for logging and monitoring Request a SageMaker service quota for 1x ml.p4d.24xlarge

Engineering 93

Engineering APIs Scripts Metrics 93

AWS Machine Learning

SEPTEMBER 2, 2022

We use the PyTorch DistributedDataParallel API and the Kubernetes TorchElastic controller, and run our training jobs on an EKS cluster containing multiple GPU nodes. Before running the training job, we can also set up Amazon CloudWatch metrics to visualize the GPU utilization during training. and push.sh. Model training.

Scripts 90

Scripts Metrics Accountability APIs 90

AWS Machine Learning

OCTOBER 21, 2024

The agent can use company APIs and external knowledge through Retrieval Augmented Generation (RAG). When creating agents that use action groups , you can specify your function definitions as a JSON object to the agent or provide an API schema in the OpenAPI schema format. Sonnet or Anthropic’s Claude 3 Opus.

Best practices 86

Best practices APIs Entertainment Construction 86

AWS Machine Learning

APRIL 2, 2025

It provides a set of high-level APIs for tasks, actors, and data that abstract away the complexities of distributed computing, enabling developers to focus on the core logic of their applications. Source is from Amazon EKS Support in SageMaker HyperPod Workshop. Please deploy this stack. If you save checkpoints with ray.train.report(.,

Scripts 86

Scripts Metrics Automotive Management 86

AWS Machine Learning

MARCH 3, 2025

SageMaker training jobs The workflow for SageMaker training jobs begins with an API request that interfaces with the SageMaker control plane, which manages the orchestration of training resources. The SageMaker training job will compute ROUGE metrics for both the base DeepSeek-R1 Distill Qwen 7B model and the fine-tuned one.

Scripts 82

Scripts Construction Management Enterprise 82

AWS Machine Learning

JANUARY 21, 2025

Here are explanations of what these metrics mean and how you can use them: wQL The average Weighted Quantile Loss (wQL) evaluates the forecast by averaging the accuracy at the P10, P50, and P90 quantiles (unless the user has changed them). You can change the default metric based on your needs. wQL is the default metric.

Metrics 96

Metrics Enterprise Sales APIs 96