APIs, Best practices and Construction - Customer Contact Central

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices.

Government

Government Management APIs Accountability

Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning

JANUARY 28, 2025

Thanks to this construct, you can evaluate any LLM by configuring the model runner according to your model. It functions as a standalone HTTP server that provides various REST API endpoints for monitoring, recording, and visualizing experiment runs. Model runner Composes input, and invokes and extracts output from your model.

Management

Management APIs Engineering Metrics

GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning

AUGUST 2, 2024

adds new APIs to customize GraphStorm pipelines: you now only need 12 lines of code to implement a custom node classification training loop. To help you get started with the new API, we have published two Jupyter notebook examples: one for node classification, and one for a link prediction task. Specifically, GraphStorm 0.3

APIs

APIs Benchmark Construction Enterprise

Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning

APRIL 10, 2025

In this post, we seek to address this growing need by offering clear, actionable guidelines and best practices on when to use each approach, helping you make informed decisions that align with your unique requirements and objectives. The following diagram illustrates the solution architecture.

APIs

APIs Metrics Best practices Construction

Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning

MARCH 27, 2025

In the following sections, we provide a detailed explanation on how to construct your first prompt, and then gradually improve it to consistently achieve over 90% accuracy. Later, if they saw the employee making mistakes, they might try to simplify the problem and provide constructive feedback by giving examples of what not to do, and why.

Education

Education Engineering APIs Enterprise

Best practices and design patterns for building machine learning workflows with Amazon SageMaker Pipelines

AWS Machine Learning

SEPTEMBER 7, 2023

In this post, we provide some best practices to maximize the value of SageMaker Pipelines and make the development experience seamless. Best practices for SageMaker Pipelines In this section, we discuss some best practices that can be followed while designing workflows using SageMaker Pipelines.

Best practices

Best practices Scripts Construction APIs

Enhancing LLM Capabilities with NeMo Guardrails on Amazon SageMaker JumpStart

AWS Machine Learning

FEBRUARY 5, 2025

Some links for security best practices are shared below but we strongly recommend reaching out to your account team for detailed guidance and to discuss the appropriate security architecture needed for a secure and compliant deployment. model API exposed by SageMaker JumpStart properly. Integrating Llama 3.1 The Llama 3.1

Chatbots

Chatbots Construction Best practices APIs

Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

OCTOBER 2, 2024

Because this is an emerging area, best practices, practical guidance, and design patterns are difficult to find in an easily consumable basis. This integration makes sure enterprises can take advantage of the full power of generative AI while adhering to best practices in operational excellence.

Government

Government APIs Enterprise Best practices

What Timeframe for an AI Chatbot Project?

Inbenta

APRIL 29, 2020

This short timeframe is made possible by: An API with a multitude of proven functionalities; A proprietary and patented NLP technology developed and perfected over the course of 15 years by our in-house Engineers and Linguists; A well-established development process. Lack of recommendations on poorly constructed decision trees.

Chatbots

Chatbots APIs Construction Best practices

Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning

JANUARY 10, 2024

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. The EventBridge model registration event rule invokes a Lambda function that constructs an email with a link to approve or reject the registered model.

APIs

APIs Construction Engineering Analytics

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2

AWS Machine Learning

NOVEMBER 15, 2024

The prompt uses XML tags following Anthropic’s Claude best practices. An alternative approach to routing is to use the native tool use capability (also known as function calling) available within the Bedrock Converse API. Refer to this documentation for a detailed example of tool use with the Bedrock Converse API.

APIs

APIs Engineering Chatbots Construction

Customize Amazon Textract with business-specific documents using Custom Queries

AWS Machine Learning

NOVEMBER 6, 2023

In addition, we discuss the benefits of Custom Queries and share best practices for effectively using this feature. Refer to Best Practices for Queries to draft queries applicable to your use case. Adapters can be created via the console or programmatically via the API. MICR line format). Who is the payee?

APIs

APIs Best practices Banking Accountability

Building Generative AI prompt chaining workflows with human in the loop

AWS Machine Learning

MAY 17, 2024

With prompt chaining, you construct a set of smaller subtasks as individual prompts. Detect if the review content has any harmful information using the Amazon Comprehend DetectToxicContent API. Repeat the toxicity detection through the Comprehend API for the LLM generated response. If the toxicity of the review is less than 0.4

APIs

APIs Construction Engineering Enterprise

Best practices for prompt engineering with Meta Llama 3 for Text-to-SQL use cases

AWS Machine Learning

AUGUST 30, 2024

In this post, we provide an overview of the Meta Llama 3 models available on AWS at the time of writing, and share best practices on developing Text-to-SQL use cases using Meta Llama 3 models. All the code used in this post is publicly available in the accompanying Github repository. docs = collection1.query(

Best practices

Best practices Engineering Accountability Enterprise

Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning

MARCH 26, 2024

The next stage is the extraction phase, where you pass the collected invoices and receipts to the Amazon Textract AnalyzeExpense API to extract financially related relationships between text such as vendor name, invoice receipt date, order date, amount due, amount paid, and so on. It is available both as a synchronous or asynchronous API.

APIs

APIs Construction Analytics Enterprise

Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

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. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language.

Scripts

Scripts APIs Engineering Construction

Improving inclusion and accessibility through automated document translation with an open source app using Amazon Translate

AWS Machine Learning

MAY 1, 2024

For interacting with AWS services, the AWS Amplify JS library for React simplifies the authentication, security, and API requests. The backend uses several serverless and event-driven AWS services, including AWS Step Functions for low-code workflows, AWS AppSync for a GraphQL API, and Amazon Translate. 1 – Translating a document.

APIs

APIs Construction Best practices Technology

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

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

Real estate APIs Metrics Construction

Build a foundation model (FM) powered customer service bot with agents for Amazon Bedrock

AWS Machine Learning

NOVEMBER 17, 2023

The action is an API that the model can invoke from an allowed set of APIs. Action groups are mapped to an AWS Lambda function and related API schema to perform API calls. Customers converse with the bot in natural language with multiple steps invoking external APIs to accomplish subtasks.

APIs

APIs Customer Service Construction Analytics

Create a document lake using large-scale text extraction from documents with Amazon Textract

AWS Machine Learning

JANUARY 8, 2024

The second approach is a turnkey deployment of various infrastructure components using AWS Cloud Development Kit (AWS CDK) constructs. The AWS CDK construct provides a resilient and flexible framework to process your documents and build an end-to-end IDP pipeline. Now on to our second solution for documents at scale.

Scripts

Scripts Construction APIs Healthcare

How Aviva built a scalable, secure, and reliable MLOps platform using Amazon SageMaker

AWS Machine Learning

OCTOBER 3, 2024

In this post, we describe how Aviva built a fully serverless MLOps platform based on the AWS Enterprise MLOps Framework and Amazon SageMaker to integrate DevOps best practices into the ML lifecycle. We illustrate the entire setup of the MLOps platform using a real-world use case that Aviva has adopted as its first ML use case.

APIs

APIs Construction Engineering Accountability

Unlock the potential of generative AI in industrial operations

AWS Machine Learning

MARCH 19, 2024

To enhance code generation accuracy, we propose dynamically constructing multi-shot prompts for NLQs. The dynamically constructed multi-shot prompt provides the most relevant context to the FM, and boosts the FM’s capability in advanced math calculation, time series data processing, and data acronym understanding.

Construction

Construction Scripts APIs Enterprise

Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

MAY 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots

Chatbots APIs Engineering Automotive

Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning

SEPTEMBER 18, 2024

UX/UI designers have established best practices and design systems applicable to all of their websites. Client profiles – We have three business clients in the construction, manufacturing, and mining industries, which are mid-to-enterprise companies. Construction Technology Solutions - Construction Data Analytics and Reporting.

Personalization

Personalization Construction Consulting Consulting

Japanese Telecommunications Giants KDDI Evolva & Terilogy Partner with TechSee to Launch “Video Support Service”

TechSee

JUNE 9, 2022

Terilogy and KDDI Evolva will continue to work together to create best practices in the region that will serve as a reference for the call center market in Japan, improving CX and promoting DX for enterprise. Following is the original, translated Press Release. *. According to Terilogy research. Terilogy Co.,

Telecommunications

Telecommunications Construction Contact Center Technical Support

Implement smart document search index with Amazon Textract and Amazon OpenSearch

AWS Machine Learning

SEPTEMBER 8, 2023

The implementation used in this post utilizes the Amazon Textract IDP CDK constructs – AWS Cloud Development Kit (CDK) components to define infrastructure for Intelligent Document Processing (IDP) workflows – which allow you to build use case specific customizable IDP workflows. The DocumentSplitter is implemented as an AWS Lambda function.

Construction

Construction Metrics Best practices APIs

Build an ecommerce product recommendation chatbot with Amazon Bedrock Agents

AWS Machine Learning

SEPTEMBER 4, 2024

The solution should seamlessly integrate with your existing product catalog API and dynamically adapt the conversation flow based on the user’s responses, reducing the need for extensive coding. The agent queries the product information stored in an Amazon DynamoDB table, using an API implemented as an AWS Lambda function.

Chatbots

Chatbots APIs Construction Best practices

Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation

AWS Machine Learning

JUNE 15, 2023

We demonstrate how to use the AWS Management Console and Amazon Translate public API to deliver automatic machine batch translation, and analyze the translations between two language pairs: English and Chinese, and English and Spanish. In this post, we present a solution that D2L.ai

APIs

APIs Benchmark Best practices Engineering

Introducing Amazon Textract Bulk Document Uploader for enhanced evaluation and analysis

AWS Machine Learning

MAY 15, 2023

Unlike the existing Amazon Textract console demos, which impose artificial limits on the number of documents, document size, and maximum allowed number of pages, the Bulk Document Uploader supports processing up to 150 documents per request and has the same document size and page limits as the Amazon Textract APIs.

APIs

APIs Construction Accountability Best practices

Design secure generative AI application workflows with Amazon Verified Permissions and Amazon Bedrock Agents

AWS Machine Learning

OCTOBER 14, 2024

Agents automatically call the necessary APIs to interact with the company systems and processes to fulfill the request. The App calls the Claims API Gateway API to run the claims proxy passing user requests and tokens. Claims API Gateway runs the Custom Authorizer to validate the access token.

APIs

APIs Construction Government Big data

Improve your Stable Diffusion prompts with Retrieval Augmented Generation

AWS Machine Learning

DECEMBER 14, 2023

The evolution continued in April 2023 with the introduction of Amazon Bedrock , a fully managed service offering access to cutting-edge foundation models, including Stable Diffusion, through a convenient API. These models are easily accessible through straightforward API calls, allowing you to harness their power effortlessly.

Entertainment

Entertainment Construction APIs Advertising

Build well-architected IDP solutions with a custom lens – Part 3: Reliability

AWS Machine Learning

NOVEMBER 22, 2023

By using the Framework, you will learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions you make while building workloads on AWS.

Best practices

Best practices APIs Accountability Enterprise

Index your Atlassian Confluence Cloud contents using the Amazon Q Confluence Cloud connector for Amazon Q Business

AWS Machine Learning

AUGUST 22, 2024

The information is used to determine which content can be used to construct chat responses for a given user, according the end-user’s document access permissions. On the API tokens page, choose Create API token. You can’t retrieve the API token after you close the dialog box. Choose Create. Figure 15: Adding OAuth 2.0

APIs

APIs Enterprise Accountability Management

Model Hosting Patterns in SageMaker: Best practices in testing and updating models on SageMaker

AWS Machine Learning

NOVEMBER 9, 2022

In this post, we discuss SageMaker multi-variant endpoints and best practices for optimization. Your application simply needs to include an API call with the target model to this endpoint to achieve low-latency, high-throughput inference. To deploy, use the endpoint_from_production_variant construct to create the endpoint.

Best practices

Best practices Construction Metrics Enterprise

Securing MLflow in AWS: Fine-grained access control with AWS native services

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

APIs Government Accountability Scripts

Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 2

AWS Machine Learning

OCTOBER 2, 2023

For more information about best practices, refer to the AWS re:Invent 2019 talk, Build accurate training datasets with Amazon SageMaker Ground Truth. 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.

Scripts

Scripts Construction Engineering APIs

How CPQ Helps B2B eCommerce Businesses Close More Deals Faster

Cincom

MARCH 20, 2025

One morning, he received an urgent request from a large construction firm that needed a specialized generator setup for a multi-site project. Here are some best practices to ensure a smooth integration: 1- Define Clear Objectives and Requirements Before implementing CPQ, outline your key goals.

B2B

B2B Sales CRM Finance

Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

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.

Scripts

Scripts APIs Government Analytics

How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

AWS Machine Learning

DECEMBER 6, 2023

Amazon Bedrock is fully serverless with no underlying infrastructure to manage extending access to available models through a single API. In Q4’s solution, we use Amazon Bedrock as a serverless, API-based, multi-foundation model building block. LangChain supports Amazon Bedrock as a multi-foundation model API.

Chatbots

Chatbots APIs Engineering CRM

14 Best Java Courses

JivoChat

JUNE 20, 2022

You will understand how to use Java best practices, advanced Java concepts, and acquire important skills to be a web or Android developer, for instance. You will learn the best practices and coding conventions for writing Java code, and how to program using Java 8 constructs like Lambdas and Streams. JVM internals.

APIs

APIs Benchmark Best practices Construction

Scale AI training and inference for drug discovery through Amazon EKS and Karpenter

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

Metrics APIs Scripts Construction

Elevate healthcare interaction and documentation with Amazon Bedrock and Amazon Transcribe using Live Meeting Assistant

AWS Machine Learning

AUGUST 21, 2024

AWS HealthScribe is a fully managed API-based service that generates preliminary clinical notes offline after the patient’s visit, intended for application developers. In the future, we expect LMA for healthcare to use the AWS HealthScribe API in addition to other AWS services.

Healthcare

Healthcare Consulting Consulting APIs

Inpaint images with Stable Diffusion using Amazon SageMaker JumpStart

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 can access these scripts with one click through the Studio UI or with very few lines of code through the JumpStart APIs.

Scripts

Scripts APIs Construction Finance

Derive generative AI-powered insights from ServiceNow with Amazon Q Business

AWS Machine Learning

AUGUST 14, 2024

Generative artificial intelligence (AI) provides the ability to take relevant information from a data source such as ServiceNow and provide well-constructed answers back to the user. It also exists as a learning tool for AWS users who want to ask questions about services and best practices in the cloud. Choose New.

APIs

APIs Enterprise Engineering Accountability

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

Trending Sources

GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

Model customization, RAG, or both: A case study with Amazon Nova

Generate training data and cost-effectively train categorical models with Amazon Bedrock

Best practices and design patterns for building machine learning workflows with Amazon SageMaker Pipelines

Enhancing LLM Capabilities with NeMo Guardrails on Amazon SageMaker JumpStart

Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

What Timeframe for an AI Chatbot Project?

Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2

Customize Amazon Textract with business-specific documents using Custom Queries

Building Generative AI prompt chaining workflows with human in the loop

Best practices for prompt engineering with Meta Llama 3 for Text-to-SQL use cases

Build a receipt and invoice processing pipeline with Amazon Textract

Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

Improving inclusion and accessibility through automated document translation with an open source app using Amazon Translate

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

Build a foundation model (FM) powered customer service bot with agents for Amazon Bedrock

Create a document lake using large-scale text extraction from documents with Amazon Textract

How Aviva built a scalable, secure, and reliable MLOps platform using Amazon SageMaker

Unlock the potential of generative AI in industrial operations

Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

Japanese Telecommunications Giants KDDI Evolva & Terilogy Partner with TechSee to Launch “Video Support Service”

Implement smart document search index with Amazon Textract and Amazon OpenSearch

Build an ecommerce product recommendation chatbot with Amazon Bedrock Agents

Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation

Introducing Amazon Textract Bulk Document Uploader for enhanced evaluation and analysis

Design secure generative AI application workflows with Amazon Verified Permissions and Amazon Bedrock Agents

Improve your Stable Diffusion prompts with Retrieval Augmented Generation

Build well-architected IDP solutions with a custom lens – Part 3: Reliability

Index your Atlassian Confluence Cloud contents using the Amazon Q Confluence Cloud connector for Amazon Q Business

Model Hosting Patterns in SageMaker: Best practices in testing and updating models on SageMaker

Securing MLflow in AWS: Fine-grained access control with AWS native services

Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 2

How CPQ Helps B2B eCommerce Businesses Close More Deals Faster

Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

14 Best Java Courses

Scale AI training and inference for drug discovery through Amazon EKS and Karpenter

Elevate healthcare interaction and documentation with Amazon Bedrock and Amazon Transcribe using Live Meeting Assistant

Inpaint images with Stable Diffusion using Amazon SageMaker JumpStart

Derive generative AI-powered insights from ServiceNow with Amazon Q Business

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