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 121

APIs Enterprise Best practices Accountability 121

Cincom

FEBRUARY 14, 2025

This article outlines 10 CPQ best practices to help optimize your performance, eliminate inefficiencies, and maximize ROI. Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow. Conduct quarterly training refreshers to introduce new features and best practices.

Best practices 40

Best practices Sales CRM Finance 40

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 97

Best practices Feedback Metrics APIs 97

AWS Machine Learning

DECEMBER 2, 2024

We cover the key scenarios where scaling to zero is beneficial, provide best practices for optimizing scale-up time, and walk through the step-by-step process of implementing this functionality. We also discuss best practices for implementation and strategies to mitigate potential drawbacks.

APIs 87

APIs Best practices Metrics Engineering 87

AWS Machine Learning

MARCH 25, 2024

Because these best practices might not be appropriate or sufficient for your environment, use them as helpful considerations rather than prescriptions. Applications must have valid credentials to sign API requests to AWS services. The customer data is cleaned up for both complete and failure cases.

Best practices 92

Best practices APIs Transportation Personalization 92

AWS Machine Learning

MARCH 14, 2025

Traditional automation approaches require custom API integrations for each application, creating significant development overhead. Add the Amazon Bedrock Agents supported computer use action groups to your agent using CreateAgentActionGroup API. Prerequisites AWS Command Line Interface (CLI), follow instructions here.

APIs 119

APIs Engineering CRM Enterprise 119

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 114

APIs Transportation Best practices Enterprise 114

AWS Machine Learning

JANUARY 24, 2025

These steps might involve both the use of an LLM and external data sources and APIs. Agent plugin controller This component is responsible for the API integration to external data sources and APIs. The LLM agent is an orchestrator of a set of steps that might be necessary to complete the desired request.

APIs 93

APIs Scripts Best practices Management 93

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 104

APIs Benchmark Construction Enterprise 104

AWS Machine Learning

MARCH 14, 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, Mistral AI, Stability AI, and Amazon via a single API. This is because such tasks require organization-specific data and workflows that typically need custom programming.

Best practices 118

Best practices Engineering Chatbots Enterprise 118

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 89

Best practices APIs Metrics Accountability 89

AWS Machine Learning

MARCH 19, 2025

This could be APIs, code functions, or schemas and structures required by your end application. Tool use with Amazon Nova To illustrate the concept of tool use, we can imagine a situation where we provide Amazon Nova access to a few different tools, such as a calculator or a weather API. Amazon Nova will use the weather tool.

APIs 78

APIs Engineering Chatbots Best practices 78

AWS Machine Learning

DECEMBER 18, 2024

Although were using admin privileges for the purpose of this post, its a security best practice to apply least privilege permissions and grant only the permissions required to perform a task. This involves creating an OAuth API endpoint in ServiceNow and using the web experience URL from Amazon Q Business as the callback URL.

APIs 72

APIs Enterprise Accountability Government 72

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 87

Best practices APIs Transportation Scripts 87

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 107

Best practices Scripts Construction APIs 107

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 89

APIs Best practices Management Personalization 89

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. Tools and APIs – For example, when you need to teach Anthropic’s Claude 3 Haiku how to use your APIs well.

Best practices 86

Best practices APIs Finance Metrics 86

AWS Machine Learning

JANUARY 28, 2025

Using SageMaker with MLflow to track experiments The fully managed MLflow capability on SageMaker is built around three core components: MLflow tracking server This component can be quickly set up through the Amazon SageMaker Studio interface or using the API for more granular configurations.

Management 89

Management APIs Engineering Metrics 89

AWS Machine Learning

APRIL 3, 2025

When complete, a notification chain using Amazon Simple Queue Service (Amazon SQS) and our internal notifications service API gateway begins delivering updates using Slack direct messaging and storing searchable records in OpenSearch for future reference.

Accountability 85

Accountability Sales CRM APIs 85

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 85

Metrics Engineering Benchmark APIs 85

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 98

APIs Metrics Best practices Construction 98

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. For best practices on prompt engineering, refer to Prompt engineering guidelines.

APIs 127

APIs Engineering Healthcare Education 127

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 94

Best practices Enterprise Engineering Strategic Value 94

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 82

Government Management APIs Accountability 82

AWS Machine Learning

JANUARY 27, 2025

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. When writing a video generation prompt for Nova Reel, be mindful of the following requirements and best practices: Prompts must be no longer than 512 characters.

Engineering 85

Engineering Best practices Entertainment APIs 85

AWS Machine Learning

MARCH 27, 2025

Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API. Test the code using the native inference API for Anthropics Claude The following code uses the native inference API to send a text message to Anthropics Claude. client = boto3.client("bedrock-runtime",

Education 94

Education Engineering APIs Enterprise 94

AWS Machine Learning

NOVEMBER 19, 2024

In this session, learn best practices for effectively adopting generative AI in your organization. This session covers best practices for a responsible evaluation. First, hear an overview of identity-aware APIs, and then learn how to configure an identity provider as a trusted token issuer.

APIs 82

APIs Enterprise Best practices Government 82

AWS Machine Learning

FEBRUARY 11, 2025

First we discuss end-to-end large-scale data integration with Amazon Q Business, covering data preprocessing, security guardrail implementation, and Amazon Q Business best practices. Step Functions orchestrates AWS services like AWS Lambda and organization APIs like DataStore to ingest, process, and store data securely.

Enterprise 81

Enterprise Engineering APIs Best practices 81

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 134

APIs Big data Accountability Enterprise 134

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 136

SaaS APIs Government Accountability 136

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 119

APIs Entertainment Best practices Advertising 119

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 138

APIs Engineering Best practices Management 138

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. How long does it take to deploy an AI chatbot? A slow testing phase.

Chatbots 140

Chatbots APIs Construction Best practices 140

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 108

Government APIs Enterprise Best practices 108

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 109

APIs Calibration Best practices Metrics 109

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 114

APIs Best practices Banking Accountability 114

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.

Best practices 71

Best practices Engineering Accountability Enterprise 71