AWS Machine Learning

DECEMBER 21, 2022

The offline store data is stored in an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account. A new optional parameter TableFormat can be set either interactively using Amazon SageMaker Studio or through code using the API or the SDK. put_record API to ingest individual records or to handle streaming sources.

Scripts 72

Scripts Engineering APIs Big data 72

AWS Machine Learning

NOVEMBER 1, 2022

Autopilot training jobs start their own dedicated SageMaker backend processes, and dedicated SageMaker API calls are required to start new training jobs, monitor training job statuses, and invoke trained Autopilot models. For this walkthrough, complete the following prerequisite steps: Set up an AWS account. SageMaker pipeline steps.

Scripts 76

Scripts APIs Metrics Engineering 76

AWS Machine Learning

NOVEMBER 21, 2022

Evaluate model performance on the hold-out test data with various evaluation metrics. 2xlarge instances, so you should raise a service limit increase request if your account requires increased limits for this type. This notebook demonstrates how to use the JumpStart API for text classification. Training uses five ml.g4dn.2xlarge

Scripts 71

Scripts Metrics APIs Healthcare 71

AWS Machine Learning

NOVEMBER 16, 2022

Enhanced monitoring and observability for ML workloads including Amazon EKS, Kubeflow metrics, and application logs using Prometheus, Grafana, and Amazon CloudWatch integrations. Automated deployment options have been improved and simplified using Kustomize scripts and Helm charts. Kubeflow on AWS 1.6.1 and PyTorch 1.12.1.

Metrics 66

Metrics Scripts Enterprise APIs 66

AWS Machine Learning

MARCH 20, 2023

Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. Quantizing the model in PyTorch is possible with a few APIs from Intel PyTorch extensions. py scripts for testing. times greater with INT8 quantization.

Calibration 77

Calibration Scripts Benchmark APIs 77

AWS Machine Learning

AUGUST 11, 2022

For example, in some e-commerce platforms, account registration is wide open. Fraudsters can behave maliciously just once with an account and never use the same account again. Additionally, it’s challenging to construct a streaming data pipeline that can feed incoming events to a GNN real-time serving API.

Construction 83

Construction APIs Accountability Scripts 83

aircall

JUNE 11, 2021

2015 — An open API (applied programming interface) technology was invented to allow software applications to sync and share data between them. A discussion of voice communications isn’t complete without VoIP (voice over internet protocol) and an open API (applied programming interface) technology. Telecommunication Now.

voip 62

voip APIs Call Center Telecommunications 62

AWS Machine Learning

SEPTEMBER 1, 2023

Each business unit has each own set of development (automated model training and building), preproduction (automatic testing), and production (model deployment and serving) accounts to productionize ML use cases, which retrieve data from a centralized or decentralized data lake or data mesh, respectively.

Engineering 100

Engineering Accountability Construction APIs 100

AWS Machine Learning

MAY 22, 2023

Prerequisites To get started, all you need is an AWS account in which you can use Studio. Use the following code to point to the location of the data and set up the output location in a bucket in your account: from sagemaker.s3 We only use the unanswerable questions. import S3Downloader # We will use the train split of SQuAD2.0

APIs 88

APIs Scripts Metrics Accountability 88

AWS Machine Learning

JANUARY 26, 2024

In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices. You should begin by extending your existing security, assurance, compliance, and development programs to account for generative AI.

Best practices 120

Best practices Government Engineering Accountability 120

AWS Machine Learning

FEBRUARY 1, 2023

Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. Some customers have asked if they could use this approach to moderate videos by sampling image frames and sending them to the Amazon Rekognition image moderation API.

APIs 66

APIs Scripts Metrics Surveys 66

AWS Machine Learning

NOVEMBER 9, 2022

The Triton server loads multiple models and exposes ports 8000, 8001, and 8002 as gRPC, HTTP, and metrics server. A complete API call from the client is as follows: The client assembles the request and initiates the request to a SageMaker endpoint. The Python script starts the NGINX, Flask, and Triton server. dkr.ecr.{}.amazonaws.com/inference/mytriton:latest'.format(account,

Engineering 78

Engineering Accountability APIs Metrics 78

AWS Machine Learning

AUGUST 14, 2023

With a big focus on state-of-the art retrieval methods and solid evaluation metrics, it provides you with everything you need to ship a reliable, trustworthy application. Prerequisites The first thing to do before we can use any AWS services is to make sure we have signed up for and created an AWS account.

Enterprise 68

Enterprise Scripts Best practices Analytics 68

AWS Machine Learning

JANUARY 8, 2024

The first allows you to run a Python script from any server or instance including a Jupyter notebook; this is the quickest way to get started. In the following sections, we first describe the script solution, followed by the AWS CDK construct solution. The following diagram illustrates the sequence of events within the script.

Scripts 86

Scripts Construction APIs Healthcare 86

AWS Machine Learning

OCTOBER 10, 2023

As a SageMaker JumpStart model hub customer, you can use ASR without having to maintain the model script outside of the SageMaker SDK. WER is a common metric for the performance of a speech recognition or machine translation system. Rachna Chadha is a Principal Solution Architect AI/ML in Strategic Accounts at AWS.

APIs 88

APIs Scripts Metrics Accountability 88

JustCall

APRIL 12, 2023

in your office space The JustCall app can be downloaded on your laptop, tablet, or phone, and your account can also be accessed on the Web via your browser, meaning you can access it on the go Highlights of Aircall Aircall doubles up as a modern phone solution for your Sales and Support teams.

Real estate 52

Real estate Interactive Voice Response CRM Call Center 52

AWS Machine Learning

APRIL 23, 2024

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 97

APIs Enterprise Scripts Accountability 97

AWS Machine Learning

AUGUST 11, 2022

This post shows you how to use an integrated solution with Amazon Lookout for Metrics and Amazon Kinesis Data Firehose to break these barriers by quickly and easily ingesting streaming data, and subsequently detecting anomalies in the key performance indicators of your interest. You don’t need ML experience to use Lookout for Metrics.

Metrics 69

Metrics APIs Scripts Wireless 69

AWS Machine Learning

AUGUST 10, 2023

As recommended by AWS as a best practice , customers have used separate accounts to simplify policy management for users and isolate resources by workloads and account. SageMaker services, such as Processing, Training, and Hosting, collect metrics and logs from the running instances and push them to users’ Amazon CloudWatch accounts.

Scripts 77

Scripts Accountability Metrics APIs 77

AWS Machine Learning

SEPTEMBER 8, 2023

Amazon Rekognition makes it easy to add image analysis capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 93

APIs Scripts Entertainment Personalization 93

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM).

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

APRIL 17, 2024

Metrics allow teams to understand workload behavior and optimize resource allocation and utilization, diagnose anomalies, and increase overall infrastructure efficiency. Metrics are exposed to Amazon Managed Service for Prometheus by the neuron-monitor DaemonSet, which deploys a minimal container, with the Neuron tools installed.

APIs 94

APIs Metrics Accountability Management 94

AWS Machine Learning

FEBRUARY 12, 2024

Client package development – A client package was developed that acts as a wrapper around SageMaker APIs and the previously existing code. For hyperparameter tuning, a hyperparameter optimization (HPO) job can be initiated, selecting the best model based on the objective metric. The evaluation report is then stored in Amazon S3.

Engineering 107

Engineering Wait times Metrics Accountability 107

AWS Machine Learning

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

Analytics 99

Analytics APIs Engineering Construction 99

AWS Machine Learning

SEPTEMBER 18, 2023

Each stage in the ML workflow is broken into discrete steps, with its own script that takes input and output parameters. In the following code, the desired number of actors is passed in as an input argument to the script. Let’s look at sections of the scripts that perform this data preprocessing. get("OfflineStoreConfig").get("S3StorageConfig").get("ResolvedOutputS3Uri")

Scripts 97

Scripts APIs Government Construction 97

AWS Machine Learning

JUNE 27, 2023

By enabling effective management of the ML lifecycle, MLOps can help account for various alterations in data, models, and concepts that the development of real-time image recognition applications is associated with. This step produces an expanded report containing the model’s metrics.

Engineering 93

Engineering APIs Scripts Entertainment 93

AWS Machine Learning

AUGUST 29, 2023

This architecture design represents a multi-account strategy where ML models are built, trained, and registered in a central model registry within a data science development account (which has more controls than a typical application development account).

Scripts 72

Scripts APIs Enterprise Accountability 72

AWS Machine Learning

OCTOBER 19, 2022

To demonstrate how you can use this solution in your existing business infrastructures, we also include an example of making REST API calls to the deployed model endpoint, using AWS Lambda to trigger both the RCF and XGBoost models. If you don’t have an account, you can sign up for one. Prerequisites. Launch the solution. ROC AUC. –.

APIs 66

APIs Metrics Calibration Accountability 66

AWS Machine Learning

JANUARY 19, 2024

The goal of NAS is to find the optimal architecture for a given problem by searching over a large set of candidate architectures using techniques such as gradient-free optimization or by optimizing the desired metrics. The performance of the architecture is typically measured using metrics such as validation loss. Choose Request.

Metrics 94

Metrics Scripts Benchmark Enterprise 94

AWS Machine Learning

JULY 3, 2023

This includes scripts for model loading, inference handling etc. Then, using the SageMaker API, we can start the asynchronous inference job as follows: import glob import time max_images = 10 input_locations,output_locations, = [], [] for i, file in enumerate(glob.glob("data/processedimages/*.png")):

APIs 80

APIs Calibration Scripts Automotive 80

AWS Machine Learning

MAY 31, 2023

Triton with PyTorch backend The PyTorch backend is designed to run TorchScript models using the PyTorch C++ API. Alternatively, you can use ensemble models or business logic scripting. Prerequisites You first need an AWS account and an AWS Identity and Access Management (IAM) administrator user. We save the model as a model.pt

APIs 81

APIs Scripts Engineering Accountability 81

AWS Machine Learning

FEBRUARY 6, 2023

Together with the implementation details in a corresponding example Jupyter notebook , you will have tools available to perform model selection by exploring pareto frontiers, where improving one performance metric, such as accuracy, is not possible without worsening another metric, such as throughput.

APIs 71

APIs Scripts Metrics Benchmark 71

AWS Machine Learning

OCTOBER 11, 2022

It provides APIs powered by ML to extract key phrases, entities, sentiment analysis, and more. You also need an AWS account and the ability to create AWS resources. For this demo, you should have the following prerequisites: An AWS account. The code for this solution is available on Github. Prerequisites. Python 3.7 LTS version.

APIs 72

APIs Enterprise Engineering Accountability 72

AWS Machine Learning

JULY 21, 2022

As a result, this experimentation phase can produce multiple models, each created from their own inputs (datasets, training scripts, and hyperparameters) and producing their own outputs (model artifacts and evaluation metrics). We also illustrate how you can track your pipeline workflow and generate metrics and comparison charts.

Metrics 77

Metrics Scripts Enterprise Telecommunications 77

AWS Machine Learning

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. If you are new to AWS, see Create a standalone AWS account. Llama 2 7b chat is available under the Llama 2 license.

APIs 94

APIs Entertainment Accountability Customer Experience 94

AWS Machine Learning

JUNE 6, 2023

Run your DLC container with a model training script to fine-tune the RoBERTa model. After model training is complete, package the saved model, inference scripts, and a few metadata files into a tar file that SageMaker inference can use and upload the model package to an Amazon Simple Storage Service (Amazon S3) bucket.

Scripts 69

Scripts APIs Benchmark Management 69

AWS Machine Learning

MAY 9, 2023

Inference requests arrive at the server via either HTTP/REST or by the C API and are then routed to the appropriate per-model scheduler. SageMaker MMEs offer capabilities for running multiple deep learning or ML models on the GPU at the same time with Triton Inference Server, which has been extended to implement the MME API contract.

APIs 80

APIs Scripts Best practices Enterprise 80