AWS Machine Learning

MARCH 25, 2024

In this blog post, you will learn how to power your applications with Amazon Transcribe capabilities in a way that meets your security requirements. Because these best practices might not be appropriate or sufficient for your environment, use them as helpful considerations rather than prescriptions.

Best practices 116

Best practices APIs Transportation Personalization 116

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 104

Government Management APIs Accountability 104

AWS Machine Learning

SEPTEMBER 13, 2024

Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.

APIs 131

APIs Enterprise Best practices Accountability 131

AWS Machine Learning

OCTOBER 29, 2024

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

Best practices 112

Best practices Feedback Metrics APIs 112

AWS Machine Learning

MARCH 4, 2025

invoke(inputs["query"])) ) return retrieval_chain Option 2: Access the underlying Boto3 API The Boto3 API is able to directly retrieve with a dynamic retrieval_config. For Amazon Bedrock: Use IAM roles and policies to control access to Bedrock resources and APIs.

APIs 113

APIs Best practices Management Personalization 113

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 123

APIs Metrics Best practices Construction 123

AWS Machine Learning

JANUARY 4, 2024

In this post, we provide an introduction to text to SQL (Text2SQL) and explore use cases, challenges, design patterns, and best practices. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) via a single API, enabling to easily build and scale Gen AI applications.

Best practices 139

Best practices Enterprise Engineering APIs 139

AWS Machine Learning

DECEMBER 18, 2024

In this post, well demonstrate how to configure an Amazon Q Business application and add a custom plugin that gives users the ability to use a natural language interface provided by Amazon Q Business to query real-time data and take actions in ServiceNow. The other fields are automatically generated by the ServiceNow OAuth server.

APIs 97

APIs Enterprise Accountability Government 97

AWS Machine Learning

JANUARY 22, 2025

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Test the flow Youre now ready to test the flow through the Amazon Bedrock console or API.

APIs 130

APIs Transportation Best practices Enterprise 130

AWS Machine Learning

JANUARY 28, 2025

In this post, we show how to use FMEval and Amazon SageMaker to programmatically evaluate LLMs. It functions as a standalone HTTP server that provides various REST API endpoints for monitoring, recording, and visualizing experiment runs. The sample notebooks implement both approaches to help you decide which one fits best your needs.

Management 114

Management APIs Engineering Metrics 114

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 117

APIs Benchmark Construction Enterprise 117

AWS Machine Learning

MARCH 19, 2025

This could be APIs, code functions, or schemas and structures required by your end application. To add fine-grained control to how tools are used, we have released a feature for tool choice for Amazon Nova models. Based on the users query, Amazon Nova will select the appropriate tool and tell you how to use it.

APIs 103

APIs Engineering Chatbots Best practices 103

AWS Machine Learning

APRIL 23, 2025

This approach is best in situations where sensitive data needs to be stored in the vector store, such as in healthcare settings with distinct user roles like administrators (doctors) and non-administrators (nurses or support personnel). For more information, see Redacting PII entities with asynchronous jobs (API).

APIs 95

APIs Healthcare Enterprise Accountability 95

AWS Machine Learning

MARCH 14, 2024

With the rapid advancement of FMs, it’s an exciting time to harness their power, but also crucial to understand how to properly use them to achieve business outcomes. Frameworks like LangChain and certain FMs such as Claude models provide function-calling capabilities to interact with APIs and tools.

Best practices 134

Best practices Engineering Chatbots Enterprise 134

AWS Machine Learning

MARCH 6, 2023

In this post, we dive into tips and best practices for successful LLM training on Amazon SageMaker Training. The post covers all the phases of an LLM training workload and describes associated infrastructure features and best practices. Some of the best practices in this post refer specifically to ml.p4d.24xlarge

Best practices 105

Best practices APIs Transportation Scripts 105

AWS Machine Learning

FEBRUARY 11, 2025

In this post, we propose an end-to-end solution using Amazon Q Business to address similar enterprise data challenges, showcasing how it can streamline operations and enhance customer service across various industries. For example, the Datastore API might require certain input like date periods to query data.

Enterprise 102

Enterprise Engineering APIs Best practices 102

AWS Machine Learning

FEBRUARY 12, 2025

Amazon Bedrock , a fully managed service offering high-performing foundation models from leading AI companies through a single API, has recently introduced two significant evaluation capabilities: LLM-as-a-judge under Amazon Bedrock Model Evaluation and RAG evaluation for Amazon Bedrock Knowledge Bases. keys()) & set(metrics2.keys())

Metrics 103

Metrics Engineering Benchmark APIs 103

AWS Machine Learning

NOVEMBER 1, 2024

In this post, we explore the best practices and lessons learned for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock. We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics.

Best practices 96

Best practices APIs Finance Engineering 96

AWS Machine Learning

NOVEMBER 19, 2024

In this talk, you’ll understand how to recognize the latest signals in changing data patterns, and adapt data strategies that flex to changes in consumer behavior and innovations in technology like AI. In this session, learn best practices for effectively adopting generative AI in your organization.

APIs 106

APIs Enterprise Best practices Government 106

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 124

Best practices Scripts Construction APIs 124

AWS Machine Learning

APRIL 24, 2025

This work extends upon the post Generating value from enterprise data: Best practices for Text2SQL and generative AI. AWS solution architecture In this section, we illustrate how you might implement the architecture on AWS. The end-user sends their natural language queries to the NL2SQL solution using a REST API.

Enterprise 108

Enterprise Construction Scripts APIs 108

AWS Machine Learning

JANUARY 10, 2023

This post describes the best practices for load testing a SageMaker endpoint to find the right configuration for the number of instances and size. This post assumes you are familiar with how to deploy a model. This can help us understand the minimum provisioned instance requirements to meet our latency and TPS requirements.

Best practices 100

Best practices Scripts APIs Metrics 100

AWS Machine Learning

JULY 7, 2022

You liked the overall experience and now want to deploy the bot in your production environment, but aren’t sure about best practices for Amazon Lex. In this post, we review the best practices for developing and deploying Amazon Lex bots, enabling you to streamline the end-to-end bot lifecycle and optimize your operations.

Best practices 98

Best practices Metrics APIs Accountability 98

AWS Machine Learning

JANUARY 27, 2025

For Nova Reel, we explore how to effectively convey camera movements and transitions through natural language. Solution overview To get started with Nova Canvas and Nova Reel, you can either use the Image/Video Playground on the Amazon Bedrock console or access the models through APIs.

Engineering 110

Engineering Best practices Entertainment APIs 110

AWS Machine Learning

OCTOBER 2, 2024

This two-part series explores best practices for building generative AI applications using Amazon Bedrock Agents. This data provides a benchmark for expected agent behavior, including the interaction with existing APIs, knowledge bases, and guardrails connected with the agent.

Best practices 98

Best practices APIs Metrics Accountability 98

AWS Machine Learning

MARCH 4, 2025

Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices.

Best practices 118

Best practices Enterprise Engineering Strategic Value 118

AWS Machine Learning

NOVEMBER 21, 2024

Take, for instance, text-to-video generation, where models need to learn not just what to generate but how to maintain consistency and natural flow across time. This granular input helps models learn how to produce speech that sounds natural, with appropriate pacing and emotional consistency. We demonstrate how to use Wavesurfer.js

APIs 102

APIs Feedback Telecommunications Management 102

AWS Machine Learning

JUNE 30, 2022

In part 1 of this series, we demonstrated how to resolve an Amazon SageMaker Studio presigned URL from a corporate network using Amazon private VPC endpoints without traversing the internet. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header. Deploy the solution. Deploy the solution.

APIs 98

APIs Enterprise Big data Accountability 98

Calabrio

MARCH 4, 2025

Workforce Management 2025 Guide to the Omnichannel Contact Center: How to Drive Success with the Right Software, Strategy, and Solutions Share Calling, email, texting, instant messaging, social mediathe communication channels available to us today can seem almost endless. Table of Contents What Is an Omnichannel Contact Center?

Contact Center 52

Contact Center Contact center software Multichannel APIs 52

AWS Machine Learning

NOVEMBER 15, 2024

We gave practical tips, based on hands-on experience with customer use cases, on how to improve text-only RAG solutions, from optimizing the retriever to mitigating and detecting hallucinations. We first introduce routers, and how they can help managing diverse data sources.

APIs 117

APIs Engineering Chatbots Construction 117

AWS Machine Learning

FEBRUARY 25, 2025

This post shows how to configure an Amazon Q Business custom connector and derive insights by creating a generative AI-powered conversation experience on AWS using Amazon Q Business while using access control lists (ACLs) to restrict access to documents based on user permissions. Enter an easily identifiable application name, and choose Save.

Enterprise 104

Enterprise Engineering APIs Accountability 104

AWS Machine Learning

APRIL 9, 2024

In this post, we discuss two new features of Knowledge Bases for Amazon Bedrock specific to the RetrieveAndGenerate API: configuring the maximum number of results and creating custom prompts with a knowledge base prompt template. Adjust the prompt template to customize how you want to use the retrieved results and generate content.

APIs 134

APIs Engineering Healthcare Education 134

AWS Machine Learning

MARCH 27, 2025

We dive deep into this process on how to use XML tags to structure the prompt and guide Amazon Bedrock in generating a balanced label dataset with high accuracy. In the following sections, we explain how to take an incremental and measured approach to improve Anthropics Claude 3.5 Sonnet prediction accuracy through prompt engineering.

Education 110

Education Engineering APIs Enterprise 110

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. The Llama 3.1

Chatbots 110

Chatbots Construction Best practices Government 110

AWS Machine Learning

FEBRUARY 9, 2024

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

SaaS 144

SaaS APIs Government Accountability 144

AWS Machine Learning

SEPTEMBER 18, 2024

Amazon Bedrock enables access to powerful generative AI models like Stable Diffusion through a user-friendly API. The user chooses Call API to invoke API Gateway to begin processing on the backend. The API invokes a Lambda function, which uses the Amazon Bedrock API to invoke the Stability AI SDXL 1.0

APIs 128

APIs Entertainment Best practices Advertising 128

Momentum Telecom

JANUARY 31, 2025

They must understand how to most effectively leverage AI capabilities and what information they should (and shouldn’t) input into tools like Copilot, ChatGPT, or Gemini. In addition to these controls, you should limit the use of AI bots to employees who have undergone training on best practices and responsible use.

Government 59

Government Education Enterprise APIs 59