AWS Machine Learning

MAY 5, 2023

By uploading a small set of training images, Amazon Rekognition automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics. A Python script is used to aid in the process of uploading the datasets and generating the manifest file.

Engineering 101

Engineering APIs Scripts Enterprise 101

Totango

APRIL 26, 2021

Download Campaign Metrics for Targeted Users. System Browser Scripts settings – You can now enable/disable session recordings in Global Settings -> General. You can also enable a walkthrough script with a script UR L. . More details are ‍ here ‍ Collection Criteria Segmentation.

Scripts 62

Scripts APIs Customer retention Enterprise 62

AWS Machine Learning

DECEMBER 21, 2022

A new optional parameter TableFormat can be set either interactively using Amazon SageMaker Studio or through code using the API or the SDK. The following code snippet shows you how to create a feature group using the Iceberg format and FeatureGroup.create API of the SageMaker SDK. You can find the sample script in GitHub.

Scripts 79

Scripts Engineering APIs Big data 79

AWS Machine Learning

NOVEMBER 21, 2022

Evaluate model performance on the hold-out test data with various evaluation metrics. This notebook demonstrates how to use the JumpStart API for text classification. After the fine-tuning job is complete, we deploy the model, run inference on the hold-out test dataset, and compute evaluation metrics. Text classification.

Scripts 77

Scripts Metrics APIs Healthcare 77

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. However, a few issues came with this solution.

Engineering 81

Engineering APIs Scripts Education 81

AWS Machine Learning

NOVEMBER 17, 2022

Beyond model accuracy, other potential metrics of importance are model training time and inference time. JumpStart APIs allow you to programmatically deploy and fine-tune a vast selection of JumpStart-supported pre-trained models on your own datasets. Several considerations can play a role when evaluating an ML model.

APIs 85

APIs Scripts Metrics 85

AWS Machine Learning

MARCH 1, 2023

Based on the quality metrics for the existing and new model versions, you set the active model version to be the version of the flywheel model that you want to use for inference jobs. F1-score is an important evaluation metric in machine learning. The data can be accessed from AWS Open Data Registry.

APIs 73

APIs Metrics Accountability Scripts 73

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 72

Metrics Scripts Enterprise APIs 72

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 84

Calibration Scripts Benchmark APIs 84

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. After checking the accuracy metrics for the locally-trained model, we can move the training into Amazon SageMaker.

Engineering 92

Engineering APIs Scripts Automotive 92

AWS Machine Learning

AUGUST 3, 2022

For example, you can immediately start detecting entities such as people, places, commercial items, dates, and quantities via the Amazon Comprehend console , AWS Command Line Interface , or Amazon Comprehend APIs. F1 score – This is a combination of the precision and recall metrics, which measures the overall accuracy of the model.

Benchmark 72

Benchmark APIs Metrics Scripts 72

AWS Machine Learning

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. This post is the first in a two-part series.

Analytics 74

Analytics Engineering APIs Metrics 74

AWS Machine Learning

NOVEMBER 16, 2022

Upon a new model version registration, someone with the authority to approve the model based on the metrics should approve or reject the model. You can use Boto3 APIs as shown the following example, or you can use the AWS Management Console to create the model package. First we need to ensure the model package groups exists.

Accountability 88

Accountability Best practices Scripts Engineering 88

AWS Machine Learning

MAY 22, 2023

You can monitor performance metrics such as training and validation loss using Amazon CloudWatch during training. Note that you need to pass the Predictor class when deploying model through the Model class to be able to run inference through the SageMaker API.

APIs 95

APIs Scripts Metrics Accountability 95

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 71

APIs Scripts Metrics Surveys 71

AWS Machine Learning

AUGUST 11, 2022

Additionally, it’s challenging to construct a streaming data pipeline that can feed incoming events to a GNN real-time serving API. It starts from a RESTful API that queries the graph database in Neptune to extract the subgraph related to an incoming transaction. The code used in this solution is available in src/scripts/glue-etl.py.

Construction 89

Construction APIs Accountability Scripts 89

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

NICE inContact

FEBRUARY 13, 2018

During an interaction, a screen pops up to the agent with relevant customer information, like their name, the selection they made in the IVR, their CRM profile, and maybe even some agent scripting. However, benefits extend to other contact center metrics as well. Average Handle Time.

Contact Center 49

Contact Center Average Handle Time Wait times APIs 49

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 91

Scripts Construction APIs Healthcare 91

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. script to preprocess and index the provided demo data. script to fit your needs if you chose to use your own data. OutputKey=='OpenSearchEndpoint'].OutputValue"

Enterprise 74

Enterprise Scripts Best practices Analytics 74

AWS Machine Learning

DECEMBER 6, 2022

compute metrics function def compute_metrics(pred): targets = 1 * (pred.label_ids >= 0.5) compute metrics function def compute_metrics(pred): targets = 1 * (pred.label_ids >= 0.5) The Trainer class provides an API for feature-complete training in PyTorch. outputs = 1 * (pred.predictions >= 0.5)

Engineering 79

Engineering APIs Construction Metrics 79

The Northridge Group

MAY 2, 2023

It can also be easily integrated via APIs with popular apps such as Slack, Instacart, Snapchat, or Facebook Messenger for easy access across multiple platforms. Many existing chat technologies still rely on simple scripts and pre-programmed generic responses, which do not add value to the conversation.

Contact Center 67

Contact Center B2C Chatbots B2B 67

AWS Machine Learning

SEPTEMBER 1, 2023

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. Some models may be trained on diverse text datasets like internet data, coding scripts, instructions, or human feedback. 15K available FM reference Step 1.

Engineering 108

Engineering Accountability Construction APIs 108

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 75

Metrics APIs Scripts Wireless 75

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.

Engineering 85

Engineering Accountability APIs Metrics 85

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. The OpenAI Whisper model uses the huggingface-pytorch-inference container.

APIs 96

APIs Scripts Metrics Accountability 96

AWS Machine Learning

FEBRUARY 19, 2024

An asynchronous API and Amazon OpenSearch Service connector make it easy to integrate the model into your neural search applications. 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. The vectors power speedy, accurate search experiences.

Scripts 104

Scripts APIs Entertainment Engineering 104

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 102

APIs Scripts Entertainment Personalization 102

AWS Machine Learning

JANUARY 26, 2024

Consider inserting AWS Web Application Firewall (AWS WAF) in front to protect web applications and APIs from malicious bots , SQL injection attacks, cross-site scripting (XSS), and account takeovers with Fraud Control.

Best practices 127

Best practices Government Engineering Accountability 127

Enghouse Interactive

OCTOBER 21, 2020

But if that data is captured, the AI tools will have analyzed their inquiry, and will be able to provide the agent with everything required to quickly resolve the customer’s issue, from detailed scripting, relevant support information, and access to internal subject matter experts if necessary.

Self service 76

Self service Contact Center Benchmark Chatbots 76

JustCall

APRIL 12, 2023

JustCall vs Aircall Pricing Comparison JustCall Pricing Plans Aircall Pricing Plans Standard Plan: $30/ user per month, billed monthly $24/user per month, if billed annually Essentials Plan: $40/user per month, billed monthly $30/user per month, if billed annually 3-user minimum Features Offered: Local Number Unlimited Inbound Minutes (toll-free (..)

Real estate 52

Real estate Interactive Voice Response CRM Call Center 52

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 91

APIs Metrics Accountability Management 91

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). Adds an IAM authorizer.

APIs 76

APIs Government Accountability Scripts 76

AWS Machine Learning

AUGUST 10, 2023

SageMaker services, such as Processing, Training, and Hosting, collect metrics and logs from the running instances and push them to users’ Amazon CloudWatch accounts. One example is performing a metric query on the SageMaker job host’s utilization metrics when a job completion event is received.

Scripts 84

Scripts Accountability Metrics APIs 84

AWS Machine Learning

JUNE 27, 2023

The ML components for data ingestion, preprocessing, and model training were available as disjointed Python scripts and notebooks, which required a lot of manual heavy lifting on the part of engineers. This step produces an expanded report containing the model’s metrics.

Engineering 100

Engineering APIs Scripts Entertainment 100

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 107

Analytics APIs Engineering Construction 107

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 106

Scripts APIs Government Construction 106