AWS Machine Learning

JULY 29, 2022

Their Python-based library ( Transformers ) provides tools to easily use popular state-of-the-art Transformer architectures like BERT, RoBERTa, and GPT. The SageMaker Python SDK provides open-source APIs and containers to train and deploy models on SageMaker, using several different ML and deep learning frameworks. to(device).

Scripts 101

Scripts APIs Big data Engineering 101

AWS Machine Learning

FEBRUARY 8, 2024

Generative AI agents are a versatile and powerful tool for large enterprises. At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API.

APIs 139

APIs Scripts Enterprise Management 139

Zingtree

MAY 24, 2018

If you’re a Zendesk user in a Contact Center environment, you’ll want to be using our Zendesk Agent Scripting app. Benefits of the Zendesk Agent Scripting App. Installing the Agent Scripting App into Zendesk. Installing the Agent Scripting App into Zendesk. Enabling Automatic Script Selection.

Scripts 61

Scripts APIs Real estate Feedback 61

AWS Machine Learning

DECEMBER 22, 2023

In particular, we cover the SMP library’s new simplified user experience that builds on open source PyTorch Fully Sharded Data Parallel (FSDP) APIs, expanded tensor parallel functionality that enables training models with hundreds of billions of parameters, and performance optimizations that reduce model training time and cost by up to 20%.

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Scripts APIs Engineering Finance 119

AWS Machine Learning

DECEMBER 14, 2023

It provides access to the most comprehensive set of tools for each step of ML development, from preparing data to building, training, deploying, and managing ML models. After you stop the Space, you can modify its settings using either the UI or API via the updated SageMaker Studio interface and then restart the Space.

APIs 123

APIs Engineering Management Scripts 123

AWS Machine Learning

JULY 11, 2024

This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams.

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Scripts APIs Engineering industry standards 137

AWS Machine Learning

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs 130

APIs Scripts Accountability Entertainment 130

AWS Machine Learning

JULY 17, 2024

In this post, we’re using the APIs for AWS Support , AWS Trusted Advisor , and AWS Health to programmatically access the support datasets and use the Amazon Q Business native Amazon Simple Storage Service (Amazon S3) connector to index support data and provide a prebuilt chatbot web experience. Synchronize the data source to index the data.

Scripts 124

Scripts APIs Enterprise Accountability 124

Nexmo

OCTOBER 7, 2020

Vonage API Account. To complete this tutorial, you will need a Vonage API account. Once you have an account, you can find your API Key and API Secret at the top of the Vonage API Dashboard. Web Component polyfill --> <script src="[link]. <!-- Step 2: Install the Nexmo CLI tool.

APIs 118

APIs Scripts Accountability 118

AWS Machine Learning

JULY 24, 2023

In contrast, in a framework-specific serving tool, such as TensorFlow Serving, the model’s name and version are part of the endpoint name. If the model changes on the server side, the client has to know and change its API call to the new endpoint accordingly. install the CLI tools by following this guide.

Scripts 98

Scripts APIs Best practices Engineering 98

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 127

Real estate APIs Metrics Construction 127

Zingtree

APRIL 14, 2015

We’re proud to announce that we’ve “officially” launched our Agent Scripting for call centers. Zingtree Interactive Decision Tree System Redefines Call Center Agent Scripting with New App. New agent scripting tools aid in training and corporate compliance for call center applications.

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Scripts Call Center APIs Analytics 48

AWS Machine Learning

FEBRUARY 15, 2023

You can fine-tune and deploy JumpStart models using the UI in Amazon SageMaker Studio or using the SageMaker Python SDK extension for JumpStart APIs. This post focuses on how we can implement MLOps with JumpStart models using JumpStart APIs, Amazon SageMaker Pipelines , and Amazon SageMaker Projects. sm_client = boto3.client("sagemaker")

Scripts 117

Scripts APIs Engineering Enterprise 117

VirtualPBX

NOVEMBER 5, 2020

Let’s take a quick tour of how Webhooks can bring Business SMS into team tools you already use, like Trello and Airtable. You can link the hook with a server provided by your tool, such as through Zapier, or you can link it to a server your business controls. Using The VirtualPBX API to Assist. That’s completely allowed.

Marketing 98

Marketing APIs voip Scripts 98

AWS Machine Learning

JANUARY 5, 2024

Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. Integrating multiple tool stacks to build a compact solution might involve building custom connectors or workflows. There are dependencies and complexities with integrating third-party tools into the MLOps pipeline.

Management 131

Management APIs Engineering Government 131

AWS Machine Learning

SEPTEMBER 11, 2023

SageMaker Studio is a fully integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all ML development steps, from preparing data to building, training, and deploying your ML models, improving data science team productivity by up to 10x.

Scripts 121

Scripts APIs Management Best practices 121

AWS Machine Learning

AUGUST 4, 2022

Adspert is a Berlin-based ISV that developed a bid management tool designed to automatically optimize performance marketing and advertising campaigns. The pricing tool reprices a seller-selected product on an ecommerce marketplace based on the visibility and profit margin to maximize profits on the product level. Overview of solution.

Scripts 123

Scripts Advertising Engineering Analytics 123

AWS Machine Learning

JUNE 19, 2024

The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. In the following sections, we guide you through the process of setting up a Slack integration for Amazon Bedrock. The following diagram illustrates the solution architecture.

APIs 105

APIs Engineering Accountability Big data 105

AWS Machine Learning

DECEMBER 29, 2022

It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. AWS offers tools such as RStudio on SageMaker and Amazon Redshift to help tackle these challenges.

APIs 137

APIs Engineering Analytics Scripts 137

AWS Machine Learning

OCTOBER 25, 2022

Model weights are available via scripts in the GitHub repository , and the MSAs are hosted by the Registry of Open Data on AWS (RODA). We use aws-do-eks , an open-source project that provides a large collection of easy-to-use and configurable scripts and tools to enable you to provision EKS clusters and run your inference.

APIs 98

APIs Scripts Banking Engineering 98

AWS Machine Learning

JANUARY 10, 2023

CloudWatch is the primary logging tool that SageMaker uses to help you understand the different metrics that describe your endpoint’s performance. Note that the model container also includes any custom inference code or scripts that you have passed for inference.

Best practices 100

Best practices Scripts APIs Metrics 100

AWS Machine Learning

NOVEMBER 15, 2024

At AWS, we help our customers transform responsible AI from theory into practice—by giving them the tools, guidance, and resources to get started with purpose-built services and features, such as Amazon Bedrock Guardrails. These dimensions make up the foundation for developing and deploying AI applications in a responsible and safe manner.

APIs 110

APIs Government Best practices Metrics 110

AWS Machine Learning

NOVEMBER 22, 2023

Amazon Bedrock is a fully managed service that offers an easy-to-use API for accessing foundation models for text, image, and embedding. Amazon Location offers an API for maps, places, and routing with data provided by trusted third parties such as Esri, HERE, Grab, and OpenStreetMap.

APIs 118

APIs Scripts Engineering Accountability 118

TechSee

APRIL 22, 2024

All of this improves the experience of the customer, and all these tools are launched by just a simple click. Furthermore, TechSee’s technology can be integrated anywhere through APIs or SDKs. Breaking Down Adoption Barriers for Agents The success of any new tool also depends on its adoption by your service agents.

APIs 109

APIs Scripts Best practices Technology 109

TechSee

APRIL 22, 2024

All of this improves the experience of the customer, and all these tools are launched by just a simple click. Furthermore, TechSee’s technology can be integrated anywhere through APIs or SDKs. Breaking Down Adoption Barriers for Agents The success of any new tool also depends on its adoption by your service agents.

APIs 109

APIs Scripts Best practices Technology 109

AWS Machine Learning

DECEMBER 22, 2023

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input. The agent is equipped with tools that include an Anthropic Claude 2.1

Scripts 124

Scripts Chatbots Accountability Multi-channel support 124

AWS Machine Learning

SEPTEMBER 28, 2022

With SageMaker, in addition to all the scaling benefits of a cloud-based ML platform, you have access to purpose-built training tools (distributed training, hyperparameter tuning), experiment management, model management, bias detection, model explainability, and many other capabilities that can help you in any aspect of the ML lifecycle.

Scripts 98

Scripts APIs Engineering Consulting 98

AWS Machine Learning

SEPTEMBER 14, 2023

Amazon API Gateway hosts a REST API with various endpoints to handle user requests that are authenticated using Amazon Cognito. Finally, the response is sent back to the user via a HTTPs request through the Amazon API Gateway REST API integration response. The web application front-end is hosted on AWS Amplify.

APIs 121

APIs Healthcare Scripts Engineering 121

AWS Machine Learning

APRIL 17, 2024

Metrics are exposed to Amazon Managed Service for Prometheus by the neuron-monitor DaemonSet, which deploys a minimal container, with the Neuron tools installed. Specifically, the neuron-monitor DaemonSet runs the neuron-monitor command piped into the neuron-monitor-prometheus.py or later NPM version 10.0.0

APIs 123

APIs Metrics Accountability Management 123

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 121

Scripts Construction Engineering APIs 121

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. The engine then works to load the PyTorch Native.

Engineering 98

Engineering APIs Scripts Education 98

AWS Machine Learning

APRIL 19, 2024

Our advanced generative and predictive artificial intelligence (AI) tools enable us to search the vast space of possible drug molecules faster and more effectively. The reverse proxy collects metrics about calls to the service and exposes them via a standard metrics API to Prometheus. A managed node group with two c5.xlarge

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Metrics APIs Scripts Construction 123

AWS Machine Learning

AUGUST 4, 2023

In Part 1 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker. frameworks to restrict client access to your APIs.

APIs 98

APIs Scripts Management Accountability 98

AWS Machine Learning

MAY 10, 2023

Today, data scientists who are training deep learning models need to identify and remediate model training issues to meet accuracy targets for production deployment, and require a way to utilize standard tools for debugging model training. is your training script, and simple_tensorboard.ipynb launches the SageMaker training job.

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Scripts Metrics Construction APIs 98

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 125

Analytics APIs Engineering Construction 125

AWS Machine Learning

JULY 11, 2024

This integration enables seamless model training and deployment using these frameworks, their powerful capabilities and extensive ecosystem of libraries and tools. Python script that serves as the entry point. script, we package it together with the fine-tuned embedding model into a single model.tar.gz

Scripts 130

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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. file in the workspace directory contains scripts to load and save a PyTorch model. client(service_name="sagemaker") runtime_sm_client = boto3.client("sagemaker-runtime")

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APIs Scripts Engineering Accountability 116