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

Construction Engineering APIs Enterprise 62

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 73

Scripts Best practices Transportation Construction 73

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 75

Automotive APIs Engineering Scripts 75

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 104

Accountability Government Engineering Scripts 104

NobelBiz

APRIL 23, 2024

Call centers are equipped with tools that allow agents to quickly access a debtor’s full account information, ensuring that every interaction is informed and constructive. Seamlessly integrate proprietary or third-party CRM applications with our extensive APIs and data dictionary libraries.

Customer centricity 94

Customer centricity Contact Center Technology Telemarketing 94

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 71

Scripts Metrics APIs Healthcare 71

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 75

APIs Banking Enterprise Construction 75

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.

Contact Center 67

Contact Center B2C Chatbots B2B 67

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. The second approach is a turnkey deployment of various infrastructure components using AWS Cloud Development Kit (AWS CDK) constructs. We have packaged this solution in a.ipynb script and.py

Scripts 87

Scripts Construction APIs Healthcare 87

AWS Machine Learning

AUGUST 1, 2023

Furthermore, proprietary models typically come with user-friendly APIs and SDKs, streamlining the integration process with your existing systems and applications. It offers an easy-to-use API and Python SDK, balancing quality and affordability. Popular uses include generating marketing copy, powering chatbots, and text summarization.

Healthcare 74

Healthcare APIs Scripts Engineering 74

AWS Machine Learning

APRIL 11, 2023

In the post Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication , we demonstrated how to build a private API to generate Amazon SageMaker Studio presigned URLs that are only accessible by an authenticated end-user within the corporate network from a single account.

APIs 70

APIs Accountability Scripts Enterprise 70

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. SageMaker runs the legacy script inside a processing container. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language.

Scripts 122

Scripts APIs Engineering Construction 122

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.

APIs 98

APIs Construction Transportation Analytics 98

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 102

Engineering Accountability Construction APIs 102

AWS Machine Learning

DECEMBER 6, 2022

The Trainer class provides an API for feature-complete training in PyTorch. To answer this question, we select an attack recipe from the TextAttack library and use it to construct perturbed adversarial examples to fool our target toxicity filtering model. outputs = 1 * (pred.predictions >= 0.5)

Engineering 74

Engineering APIs Construction Metrics 74

AWS Machine Learning

JULY 8, 2022

Many data scientists prefer to use this web-based IDE for developing the ML code, quickly debugging the library API, and getting things running with a small sample of data to validate the training script. The Dockerfile used for the Docker build, which contains all dependencies and the training code. The dependencies.

Best practices 79

Best practices Scripts Construction Management 79

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 100

Analytics APIs Engineering Construction 100

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 70

APIs Government Accountability Scripts 70

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 99

Scripts APIs Government Construction 99

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 75

Scripts Finance Construction APIs 75

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.

APIs 79

APIs Scripts Construction Finance 79

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 79

APIs Advertising Engineering Construction 79

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.

Scripts 78

Scripts Accountability Metrics APIs 78

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

Metrics 99

Metrics APIs Scripts Construction 99

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.

Scripts 79

Scripts APIs Entertainment Construction 79

AWS Machine Learning

SEPTEMBER 26, 2023

The preprocessing script uses SimpleImputer for handling missing values, StandardScaler for normalizing numerical columns, and OneHotEncoder for transforming categorical columns. API requirements: The Inference script must implement both /ping and /invocations routes as a Flask application. Here’s a snippet from preprocessing.py

Scripts 102

Scripts APIs Accountability Construction 102

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 80

Scripts APIs Benchmark Engineering 80

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 70

Metrics APIs Scripts Wireless 70

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 77

Engineering APIs Construction Finance 77

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 76

Scripts APIs Metrics Construction 76

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 96

Metrics Scripts Benchmark Enterprise 96

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 76

APIs Scripts Engineering Chatbots 76

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 69

Scripts Benchmark Metrics Transportation 69

AWS Machine Learning

APRIL 18, 2023

Although these SEC filings are publicly available to anyone, downloading parsed filings and constructing a clean dataset with added features is a time-consuming exercise. We make this possible in a few API calls in the JumpStart Industry SDK. 0-9]+)"}, {'Name': 'eval:loss', 'Regex': "'eval_loss': ([0-9]+.[0-9]+)"},

Finance 66

Finance Scripts APIs Sales 66

AWS Machine Learning

APRIL 18, 2023

Although these SEC filings are publicly available to anyone, downloading parsed filings and constructing a clean dataset with added features is a time-consuming exercise. We make this possible in a few API calls in the JumpStart Industry SDK. 0-9]+)"}, {'Name': 'eval:loss', 'Regex': "'eval_loss': ([0-9]+.[0-9]+)"},

Finance 52

Finance Scripts APIs Sales 52

AWS Machine Learning

MARCH 19, 2024

However, complex NLQs, such as time series data processing, multi-level aggregation, and pivot or joint table operations, may yield inconsistent Python script accuracy with a zero-shot prompt. To enhance code generation accuracy, we propose dynamically constructing multi-shot prompts for NLQs. setup.sh. (a a challenge-level question).

Construction 114

Construction Scripts APIs Enterprise 114

AWS Machine Learning

MAY 2, 2023

The FIL backend utilizes many of these techniques by using cuML constructs and is built on C++ and the CUDA core library to optimize inference performance on GPU accelerators. The bash script create_prep_env.sh The FIL backend uses cuML’s libraries to use CPU or GPU cores to accelerate learning. See the following code: #!/bin/bash

Scripts 64

Scripts Engineering Enterprise Construction 64