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 86

Best practices APIs Metrics Accountability 86

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 82

Best practices APIs Transportation Scripts 82

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 123

APIs Engineering Healthcare Education 123

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 130

SaaS APIs Government Accountability 130

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 81

APIs Enterprise Big data Accountability 81

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 75

Best practices Metrics APIs Accountability 75

AWS Machine Learning

NOVEMBER 14, 2024

Reactive governance is for finding resources that lack proper tags using tools such as the AWS Resource Groups tagging API, AWS Config rules, and custom scripts. AWS Resource Groups tagging API – The AWS Resource Groups Tagging API lets you tag or untag resources. You should take action when resources lack necessary tags.

Government 89

Government Best practices Accountability APIs 89

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 73

Best practices Scripts APIs Metrics 73

TechSee

APRIL 22, 2024

In this post, we explore how to remove barriers to adoption, significantly amplifying the effectiveness of your CX strategies. Furthermore, TechSee’s technology can be integrated anywhere through APIs or SDKs. However, the true potential of investing in CX innovation often remains untapped due to barriers that hinder adoption.

APIs 109

APIs Scripts Best practices Technology 109

TechSee

APRIL 22, 2024

In this post, we explore how to remove barriers to adoption, significantly amplifying the effectiveness of your CX strategies. Furthermore, TechSee’s technology can be integrated anywhere through APIs or SDKs. However, the true potential of investing in CX innovation often remains untapped due to barriers that hinder adoption.

APIs 109

APIs Scripts Best practices Technology 109

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 115

APIs Best practices Entertainment Advertising 115

AWS Machine Learning

OCTOBER 30, 2023

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. You can choose from various FMs from Amazon and leading AI startups such as AI21 Labs, Anthropic, Cohere, and Stability AI to find the model that’s best suited for your use case.

APIs 130

APIs Big data Accountability Enterprise 130

Cincom

MAY 8, 2024

The key stages include: Initial Research: Early messaging should focus on educating prospects with thought leadership content detailing industry trends and best practices. Adoption: Share tips, how-to content, and community forums to aid customers in skill-building and integration post-purchase. This builds awareness and trust.

Best practices 52

Best practices Metrics Education CRM 52

AWS Machine Learning

AUGUST 26, 2024

The GenASL web app invokes the backend services by sending the S3 object key in the payload to an API hosted on Amazon API Gateway. API Gateway instantiates an AWS Step Functions The state machine orchestrates the AI/ML services Amazon Transcribe and Amazon Bedrock and the NoSQL data store Amazon DynamoDB using AWS Lambda functions.

APIs 105

APIs Calibration Best practices Healthcare 105

AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.

Enterprise 96

Enterprise APIs Government Accountability 96

AWS Machine Learning

AUGUST 27, 2024

Moreover, this capability prioritizes the connected Amazon Bedrock API source/primary region when possible, helping to minimize latency and improve responsiveness. Compatibility with existing Amazon Bedrock API No additional routing or data transfer cost and you pay the same price per token for models as in your source/primary region.

APIs 136

APIs Engineering Best practices Management 136

AWS Machine Learning

MAY 17, 2024

In this blog post, you will learn about prompt chaining, how to break a complex task into multiple tasks to use prompt chaining with an LLM in a specific order, and how to involve a human to review the response generated by the LLM. Repeat the toxicity detection through the Comprehend API for the LLM generated response.

APIs 121

APIs Construction Engineering Enterprise 121

AWS Machine Learning

NOVEMBER 15, 2024

In this post, we introduce the core dimensions of responsible AI and explore considerations and strategies on how to address these dimensions for Amazon Bedrock applications. This tool not only supports responsible AI practices, but also fosters trust and reliability in the use of AI-generated content.

APIs 95

APIs Government Best practices Metrics 95

AWS Machine Learning

OCTOBER 2, 2024

In this post, we discuss how to address these challenges holistically. Because this is an emerging area, best practices, practical guidance, and design patterns are difficult to find in an easily consumable basis. To learn more, see Log Amazon Bedrock API calls using AWS CloudTrail.

Government 105

Government APIs Enterprise Best practices 105

AWS Machine Learning

NOVEMBER 2, 2023

Amazon Bedrock is a fully managed service that makes foundation models from leading AI startups and Amazon available via easy-to-use API interfaces. The solution also uses the grammatical error correction API and the paraphrase API from AI21 to recommend word and sentence corrections.

APIs 113

APIs Education Transportation Accountability 113

AWS Machine Learning

FEBRUARY 8, 2024

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. System integration – Agents make API calls to integrated company systems to run specific actions.

APIs 127

APIs Scripts Enterprise Management 127

AWS Machine Learning

JANUARY 9, 2025

Create a custom plugin that invokes an OpenAPI schema of the Amazon API Gateway This API sends emails to the users. After authentication, the user session is stored in the Amazon Q Business application for subsequent API calls. Post-authentication, the custom plugin will pass the token to API Gateway to invoke the API.

APIs 91

APIs Best practices Accountability Enterprise 91

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 124

Scripts APIs Engineering Construction 124

AWS Machine Learning

MAY 31, 2024

Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. Data to manage sessions is automatically purged after 24 hours.

Best practices 116

Best practices APIs Accountability Personalization 116

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 111

Chatbots APIs Engineering Automotive 111

AWS Machine Learning

SEPTEMBER 12, 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 unified API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Healthcare 114

Healthcare APIs Accountability Enterprise 114

AWS Machine Learning

MAY 7, 2024

In this post, we demonstrate how to use enhanced video search capabilities by enabling semantic retrieval of videos based on text queries. Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The metadata generated for each video by the APIs is processed and stored with timestamps.

APIs 113

APIs Advertising Entertainment Metrics 113

AWS Machine Learning

OCTOBER 19, 2023

In this post, we discuss how to use the Custom Moderation feature in Amazon Rekognition to enhance the accuracy of your pre-trained content moderation API. The unique ID of the trained adapter can be provided to the existing DetectModerationLabels API operation to process images using this adapter.

APIs 117

APIs Best practices Advertising Accountability 117

AWS Machine Learning

JANUARY 24, 2024

Building proofs of concept is relatively straightforward because cutting-edge foundation models are available from specialized providers through a simple API call. We demonstrate how to build an end-to-end RAG application using Cohere’s language models through Amazon Bedrock and a Weaviate vector database on AWS Marketplace.

Enterprise 129

Enterprise APIs Advertising Technology 129

AWS Machine Learning

NOVEMBER 17, 2023

ReAct Prompting FMs determine how to solve user-requested tasks with a technique called ReAct. The thought is a reasoning step that helps demonstrate to the FM how to tackle the problem and identify an action to take. The action is an API that the model can invoke from an allowed set of APIs.

APIs 94

APIs Customer Service Construction Analytics 94

AWS Machine Learning

MARCH 26, 2024

In this post, we show how to automate the accounts payable process using Amazon Textract for data extraction. AnalyzeExpense is an API dedicated to processing invoice and receipts documents. It is available both as a synchronous or asynchronous API. Map State – A Lambda function that processes each chunk in parallel.

APIs 99

APIs Construction Analytics Enterprise 99

AWS Machine Learning

APRIL 23, 2024

The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. It calls the CreateDataSource and DeleteDataSource APIs. VectorIngestionConfiguration – Contains details about how to ingest the documents in a data source.

APIs 114

APIs Enterprise Scripts Accountability 114

AWS Machine Learning

FEBRUARY 1, 2024

Make sure to use best practices for rate limiting, backoff and retry, and load shedding. This pattern achieves a statically stable architecture, which is a resiliency best practice. Conclusion This post described how to take resilience into account when building generative AI solutions.

Best practices 120

Best practices Engineering SaaS APIs 120

AWS Machine Learning

JULY 17, 2024

This post shows how to use AWS generative artificial intelligence (AI) services , like Amazon Q Business , with AWS Support cases, AWS Trusted Advisor , and AWS Health data to derive actionable insights based on common patterns, issues, and resolutions while using the AWS recommendations and best practices enabled by support data.

Scripts 103

Scripts APIs Enterprise Accountability 103

AWS Machine Learning

SEPTEMBER 28, 2023

In this post, we define what a Generative AI Gateway is, its benefits, and how to architect one on AWS. For traditional APIs (such as REST or gRPC), API Gateway has established itself as a design pattern that enables enterprises to standardize and control how APIs are externalized and consumed.

APIs 105

APIs Government Enterprise Engineering 105

delighted

DECEMBER 5, 2022

That’s why it’s key to choose a survey platform that’s easy to use, with best practices baked in, and to automate as much as you can. Choosing a survey platform with a powerful REST API , native integrations, and survey automation features for easy scheduling can save you time—and therefore money! When is it time to upgrade?

Surveys 92

Surveys Feedback Best practices APIs 92

AWS Machine Learning

JULY 30, 2024

Additionally, Q Business conversation APIs employ a layer of privacy protection by leveraging trusted identity propagation enabled by IAM Identity Center. Amazon Q Business comes with rich API support to perform administrative tasks or to build an AI-assistant with customized user experience for your enterprise.

APIs 107

APIs Enterprise Accountability Management 107