AWS Machine Learning

OCTOBER 24, 2024

These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and APIs. Create and associate an action group with an API schema and a Lambda function. Examples given later in the post.)

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APIs Best practices Construction Engineering 95

AWS Machine Learning

FEBRUARY 29, 2024

The endpoints like SageMaker API, SageMaker Studio, and SageMaker notebook facilitate secure and reliable communication between the platform account’s VPC and the SageMaker domain managed by AWS in the SageMaker service account. Notably, each SageMaker domain is provisioned through its individual SageMakerStudioStack.

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AWS Machine Learning

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The following diagram illustrates the web interface and API management layer.

Real estate 129

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AWS Machine Learning

OCTOBER 2, 2023

With this format, we can easily query the feature store and work with familiar tools like Pandas to construct a dataset to be used for training later. For this we use AWS Step Functions , a serverless workflow service that provides us with API integrations to quickly orchestrate and visualize the steps in our workflow.

Scripts 118

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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 82

APIs Government Accountability Scripts 82

AWS Machine Learning

APRIL 10, 2023

Within the realm of architectural design, Stable Diffusion inpainting can be applied to repair incomplete or damaged areas of building blueprints, providing precise information for construction crews. You have to run end-to-end tests to make sure that the script, the model, and the desired instance work together efficiently.

Scripts 91

Scripts APIs Construction Finance 91

AWS Machine Learning

MAY 23, 2024

The SMP library uses NVIDIA Megatron to implement expert parallelism and support training MoE models, and runs on top of PyTorch Fully Sharded Data Parallel (FSDP) APIs. With SageMaker training jobs, you can launch and manage clusters of high-performance instances with simple API calls. In this example, we use SageMaker training jobs.

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AWS Machine Learning

JULY 26, 2023

We compile the UNet for one batch (by using input tensors with one batch), then use the torch_neuronx.DataParallel API to load this single batch model onto each core. The directory path for the compiled model is constructed by joining COMPILER_WORKDIR_ROOT with the subdirectory text_encoder : emb = torch.tensor([.])

Scripts 92

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AWS Machine Learning

JULY 25, 2024

If it detects error messages specifically related to the Neuron device (which is the Trainium or AWS Inferentia chip), it will change NodeCondition to NeuronHasError on the Kubernetes API server. To create the policy, aws cli can be used as shown below where npd-policy-trimmed.json is the policy json constructed from the template above.

Construction 114

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AWS Machine Learning

MARCH 23, 2023

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

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Scripts APIs Government Analytics 119

AWS Machine Learning

JUNE 28, 2023

Solution overview Amazon Rekognition and Amazon Comprehend are managed AI services that provide pre-trained and customizable ML models via an API interface, eliminating the need for machine learning (ML) expertise. The RESTful API will return the generated image and the moderation warnings to the client if unsafe information is detected.

APIs 101

APIs Advertising Engineering Construction 101

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. FD_SL_Process_IEEE-CIS_Dataset.ipynb. next(dataProcessTask).next(hyperParaTask).next(trainingJobTask).next(runLoadGraphDataTask).next(modelRepackagingTask).next(createModelTask).next(createEndpointConfigTask).next(c

Construction 94

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AWS Machine Learning

MAY 10, 2023

When they create a SageMaker training job, domain users can use TensorBoard using the SageMaker Python SDK or Boto3 API. Solution overview A typical training job for deep learning in SageMaker consists of two main steps: preparing a training script and configuring a SageMaker training job launcher. x_test / 255.0 session.Session().region_name

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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 126

Analytics APIs Engineering Construction 126

AWS Machine Learning

APRIL 19, 2024

The Kubernetes semantics used by the provisioners support directed scheduling using Kubernetes constructs such as taints or tolerations and affinity or anti-affinity specifications; they also facilitate control over the number and types of GPU instances that may be scheduled by Karpenter. A managed node group with two c5.xlarge

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AWS Machine Learning

OCTOBER 22, 2024

The Execute code step type was introduced along with the new visual editor and provides three execution modes in which code can be run: Jupyter Notebooks, Python functions, and Shell or Python scripts. For more information about the Execute code step type, see the developer guide. In this example, you will use a Python function.

Scripts 80

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AWS Machine Learning

SEPTEMBER 18, 2023

The combination of Ray and SageMaker provides end-to-end capabilities for scalable ML workflows, and has the following highlighted features: Distributed actors and parallelism constructs in Ray simplify developing distributed applications. In the following code, the desired number of actors is passed in as an input argument to the script.

Scripts 125

Scripts APIs Government Construction 125

AWS Machine Learning

AUGUST 11, 2023

The framework works by posing the sequence to be classified as an NLI premise and constructs a hypothesis from each candidate label. For example, if we want to evaluate whether a sequence belongs to the class politics , we could construct a hypothesis of “This text is about politics.” We specify the script_scope as inference.

Scripts 87

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AWS Machine Learning

AUGUST 10, 2023

In addition to the SageMaker native events, AWS CloudTrail publishes events when you make API calls, which also streams to EventBridge so that this can be utilized by many downstream automation or monitoring use cases. Input Description Example Home Region The Region where the workloads run. aws/config. Keep the / at the end of the path.

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Scripts Accountability Metrics Best practices 90

AWS Machine Learning

AUGUST 30, 2023

In order to run inference through SageMaker API, make sure to pass the Predictor class. pre_trained_model = Model( image_uri=deploy_image_uri, model_data=pre_trained_model_uri, role=aws_role, predictor_cls=Predictor, name=pre_trained_name, env=large_model_env, ) # Deploy the pre-trained model.

Healthcare 133

Healthcare APIs Metrics Scripts 133

AWS Machine Learning

MAY 23, 2023

The web application interacts with the models via Amazon API Gateway and AWS Lambda functions as shown in the following diagram. API Gateway provides the web application and other clients a standard RESTful interface, while shielding the Lambda functions that interface with the model. Clone and set up the AWS CDK application.

APIs 111

APIs Accountability Construction Management 111

AWS Machine Learning

FEBRUARY 20, 2023

In this post, we provide an overview of how to fine-tune the Stable Diffusion model in two ways: programmatically through JumpStart APIs available in the SageMaker Python SDK , and JumpStart’s user interface (UI) in Amazon SageMaker Studio. Fine-tuning large models like Stable Diffusion usually requires you to provide training scripts.

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AWS Machine Learning

NOVEMBER 25, 2022

When our tuning job is complete, we look at some of the methods available to explore the results, both via the AWS Management Console and programmatically via the AWS SDKs and APIs. We use the XGBoost algorithm, one of many algorithms provided as a SageMaker built-in algorithm (no training script required!). Construct the estimator.

Scripts 88

Scripts APIs Metrics Construction 88

OctopusTech

AUGUST 18, 2023

Every undertaking, whether constructing a developing app or website, requires thorough planning. Developers may construct efficient web designs using front-end coding and front-end languages. The template-driven websites need more ability for customization because they contain an excessive amount of unnecessary, long scripts.

Construction 62

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AWS Machine Learning

FEBRUARY 13, 2023

In this post, we enable the provisioning of different components required for performing log analysis using Amazon SageMaker on AWS DeepRacer via AWS CDK constructs. An administrator can run the AWS CDK script provided in the GitHub repo via the AWS Management Console or in the terminal after loading the code in their environment.

Scripts 85

Scripts Best practices Transportation Construction 85

AWS Machine Learning

DECEMBER 19, 2022

We walk through an end-to-end example, from loading the Faster R-CNN object detection model weights, to saving them to an Amazon Simple Storage Service (Amazon S3) bucket, and to writing an entrypoint file and understanding the key parameters in the PyTorchModel API. Step 4: Building ML model inference scripts. Step 1: Setup.

Automotive 87

Automotive APIs Engineering Scripts 87

AWS Machine Learning

MAY 4, 2023

The Neuron runtime consists of kernel driver and C/C++ libraries, which provide APIs to access AWS Inferentia and Trainium Neuron devices. xlarge" ) Refer to Developer Flows for more details on typical development flows of Inf2 on SageMaker with sample scripts. These endpoints are fully managed and support auto scaling.

APIs 92

APIs Scripts Engineering Chatbots 92

AWS Machine Learning

AUGUST 9, 2024

It lays out a type of internal monologue or cognitive path for the LLM to follow in order to comprehend the key information within the question, determine what kind of response is needed, and construct that response in an appropriate and accurate way. For more details see the OpenSearch documentation on structuring a search query.

Government 126

Government Healthcare Construction Engineering 126

AWS Machine Learning

OCTOBER 27, 2022

For detailed diagnosis, run the training jobs with Amazon SageMaker Debugger to profile resource utilization status, statistics, and framework operations, by adding a profiler configuration when you construct a SageMaker estimator using the SageMaker Python SDK. Distribute training scripts and dependencies to instances. The launcher.py

Scripts 81

Scripts Benchmark Metrics Transportation 81

AWS Machine Learning

FEBRUARY 13, 2024

Their task is to construct and oversee efficient data pipelines. The second script accepts the AWS RAM invitations to discover and access cross-account feature groups from the owner level. Drawing data from source systems, they mold raw data attributes into discernable features. Take “age” for instance.

Accountability 129

Accountability Government Engineering Scripts 129

AWS Machine Learning

APRIL 3, 2023

You can access Amazon Comprehend document analysis capabilities using the Amazon Comprehend console or using the Amazon Comprehend APIs. The University of the Philippines (UP) is set to construct a new building for its College of Medicine and Health Sciences (CMHS) in the campus of the University of Santo Tomas (UST) in Bacolod City.

Engineering 92

Engineering APIs Construction Finance 92

AWS Machine Learning

JANUARY 19, 2024

Phrase 2: A bearded man pulls a rope We load the textual recognizing entailment dataset from the GLUE benchmarking suite via the dataset library from Hugging Face within our training script (./training.py Then we construct a request metadata and record the start time to be used for load testing. training.py ).

Metrics 121

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AWS Machine Learning

NOVEMBER 21, 2022

This notebook demonstrates how to use the JumpStart API for text classification. To run inference on this model, we first need to download the inference container ( deploy_image_uri ), inference script ( deploy_source_uri ), and pre-trained model ( base_model_uri ). Text classification.

Scripts 83

Scripts Metrics APIs Healthcare 83

AWS Machine Learning

OCTOBER 8, 2024

Throughout this blog post, we will be talking about AutoML to indicate SageMaker Autopilot APIs, as well as Amazon SageMaker Canvas AutoML capabilities. The following diagram depicts the basic AutoMLV2 APIs, all of which are relevant to this post. The diagram shows the workflow for building and deploying models using the AutoMLV2 API.

Metrics 94

Metrics APIs Sales Accountability 94

AWS Machine Learning

AUGUST 11, 2022

Download the Python script ( publish.py ) and data file from the GitHub repo. This is required to simulate sensor data for the current date using the IoT simulator script. It also provides the capability to query the anomalies via APIs. The following diagram illustrates our solution architecture. Prerequisites. Conclusion.

Metrics 81

Metrics APIs Scripts Wireless 81

AWS Machine Learning

AUGUST 3, 2023

In the current scenario, you need to dedicate resources to accomplish such tasks using human review and complex scripts. Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can find the model that best suits your requirements. PMHx: Back pain and muscle spasms.

APIs 87

APIs Banking Enterprise Construction 87

The Northridge Group

MAY 2, 2023

ChatGPT’s state-of-the-art tools make it possible for users to easily construct sophisticated Conversational AI applications quickly and efficiently. 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.

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Contact Center B2C Chatbots B2B 67