APIs, Best practices and How To - Customer Contact Central

Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

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

Best practices APIs Finance Metrics

Use the ApplyGuardrail API with long-context inputs and streaming outputs in Amazon Bedrock

AWS Machine Learning

JULY 31, 2024

The new ApplyGuardrail API enables you to assess any text using your preconfigured guardrails in Amazon Bedrock, without invoking the FMs. In this post, we demonstrate how to use the ApplyGuardrail API with long-context inputs and streaming outputs. For example, you can now use the API with models hosted on Amazon SageMaker.

APIs

APIs Banking Best practices Engineering

Best practices for building secure applications with Amazon Transcribe

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

Best practices APIs Transportation Personalization

Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents

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

APIs Enterprise Best practices Accountability

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

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

Best practices APIs Metrics Benchmark

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

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

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

Government Best practices Accountability APIs

Generating value from enterprise data: Best practices for Text2SQL and generative AI

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

Best practices Enterprise Engineering APIs

How to Communicate Effectively with Customers: Best Practices

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

Best practices Metrics Education CRM

Best practices to build generative AI applications on AWS

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

Best practices Engineering Chatbots Enterprise

Training large language models on Amazon SageMaker: Best practices

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

Best practices APIs Transportation Scripts

Best practices for load testing Amazon SageMaker real-time inference endpoints

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

Best practices Scripts APIs Metrics

Drive efficiencies with CI/CD best practices on Amazon Lex

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

Best practices Metrics APIs Accountability

Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication

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

APIs Enterprise Big data Accountability

Build a multi-tenant generative AI environment for your enterprise on AWS

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

Enterprise APIs Government Accountability

Knowledge Bases for Amazon Bedrock now supports custom prompts for the RetrieveAndGenerate API and configuration of the maximum number of retrieved results

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

APIs Engineering Healthcare Education

Sales Planning Best Practices

aircall

MARCH 17, 2021

When you use best practices in sales planning, everyone involved benefits — marketing teams, sales managers, sales teams, and your customers. Best practices for sales planning begins with an overall comprehensive plan that serves as your roadmap for sales call planning. How to Identify Gaps in Your Sales Strategy Plan.

Best practices

Best practices Sales Contact center software Contact Center

Adopting CX Innovation: How to Overcome the Challenge

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

APIs Scripts Best practices Technology

Adopting CX Innovation: How to Overcome the Challenge

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

APIs Scripts Best practices Technology

Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

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

APIs Best practices Entertainment Advertising

Integrate foundation models into your code with Amazon Bedrock

AWS Machine Learning

NOVEMBER 6, 2024

Enter Amazon Bedrock , a fully managed service that provides developers with seamless access to cutting-edge FMs through simple APIs. In this post, we explore how to integrate Amazon Bedrock FMs into your code base, enabling you to build powerful AI-driven applications with ease. We walk through a Python example in this post.

APIs

APIs Accountability Best practices Engineering

Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning

NOVEMBER 19, 2024

In this post, we demonstrate how to create an automated email response solution using Amazon Bedrock and its features, including Amazon Bedrock Agents , Amazon Bedrock Knowledge Bases , and Amazon Bedrock Guardrails. The APIs make sure actions taken are appropriate and accurate according to the processed instructions.

APIs

APIs Management Engineering Enterprise

GenASL: Generative AI-powered American Sign Language avatars

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

APIs Calibration Best practices Healthcare

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

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

Government APIs Enterprise Best practices

Create a generative AI-based application builder assistant using Amazon Bedrock Agents

AWS Machine Learning

OCTOBER 24, 2024

These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and APIs. The following are sample user queries: How can I design secure VPCs? What are some S3 best practices?

APIs

APIs Best practices Construction Engineering

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

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

SaaS APIs Government Accountability

Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

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

APIs Government Best practices Metrics

10 Best Practices to Develop Your Digital Transformation Framework

aircall

MAY 24, 2021

Setting up the right digital transformation framework makes a huge difference in how well your call center runs. By following best practices for your digital transformation framework, you also get the benefit of flexibility so you can add and subtract digital tools as your company’s needs change. Improves training and retention.

Best practices

Best practices Call Center Analytics Technology

WhatsApp Business for Teams: How To Get Started

JustCall

JANUARY 23, 2024

What is the WhatsApp Business API for teams? WhatsApp Business Platform is a cloud-based API that is specially released by Meta to allow users to integrate WhatsApp into their operational workflows. This is an option in WhatsApp Business API only, as the WhatsApp Business App doesn’t support multiple users. And you are all set.

APIs

APIs Accountability CRM Interactive Voice Response

Getting started with cross-region inference in Amazon Bedrock

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

APIs Engineering Best practices Management

Use AWS PrivateLink to set up private access to Amazon Bedrock

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

APIs Big data Accountability Enterprise

Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning

OCTOBER 14, 2024

In this post, we show how to create a multimodal chat assistant on Amazon Web Services (AWS) using Amazon Bedrock models, where users can submit images and questions, and text responses will be sourced from a closed set of proprietary documents. Step 3 – The Lambda function stores the query image in Amazon S3 with a specified ID.

Chatbots

Chatbots APIs Engineering Healthcare

Discover insights with the Amazon Q Business Microsoft Teams connector

AWS Machine Learning

NOVEMBER 11, 2024

In this post, we show how to connect your Microsoft Teams with Amazon Q using the Amazon Q Business Microsoft Teams connector. The document is a unit of data, and how to count a document varies by connector. Add necessary permissions: In the API Permissions section of your application page, choose Add a Permission.

APIs

APIs Accountability Automotive Enterprise

How to Use WhatsApp for Customer Service

JustCall

JANUARY 23, 2024

If you are wondering how to use WhatsApp for customer service, then you are in the right place. Leveraging WhatsApp Business API for Scale The WhatsApp Business API is a game-changer for expanding businesses. This API allows for integration with customer relationship management (CRM) systems.

Customer Service

Customer Service APIs Customer Support Metrics

How healthcare payers and plans can empower members with generative AI

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

Healthcare APIs Accountability Enterprise

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

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

APIs Customer Service Construction Analytics

Develop generative AI applications to improve teaching and learning experiences

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

APIs Education Transportation Accountability

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

Empower your generative AI application with a comprehensive custom observability solution

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

Best practices Feedback Metrics APIs

Building Generative AI prompt chaining workflows with human in the loop

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

APIs Construction Engineering Enterprise

Your guide to generative AI and ML at AWS re:Invent 2024

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

APIs Enterprise Best practices Government

Derive meaningful and actionable operational insights from AWS Using Amazon Q Business

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

Scripts APIs Enterprise Accountability

Improve public speaking skills using a generative AI-based virtual assistant with Amazon Bedrock

AWS Machine Learning

OCTOBER 15, 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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs

APIs Construction Engineering Accountability

Connect Amazon Q Business to Microsoft SharePoint Online using least privilege access controls

AWS Machine Learning

JULY 29, 2024

This post demonstrates how to use Amazon Q Business with SharePoint Online as the data source to provide answers, generate summaries, and present insights using least privilege access controls and best practices recommended by Microsoft SharePoint Dev Support Team. Choose API permissions under Manage in the navigation pane.

APIs

APIs Accountability Best practices Engineering

Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

Use the ApplyGuardrail API with long-context inputs and streaming outputs in Amazon Bedrock

Trending Sources

Best practices for building secure applications with Amazon Transcribe

Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

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

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

Generating value from enterprise data: Best practices for Text2SQL and generative AI

How to Communicate Effectively with Customers: Best Practices

Best practices to build generative AI applications on AWS

Training large language models on Amazon SageMaker: Best practices

Best practices for load testing Amazon SageMaker real-time inference endpoints

Drive efficiencies with CI/CD best practices on Amazon Lex

Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication

Build a multi-tenant generative AI environment for your enterprise on AWS

Knowledge Bases for Amazon Bedrock now supports custom prompts for the RetrieveAndGenerate API and configuration of the maximum number of retrieved results

Sales Planning Best Practices

Adopting CX Innovation: How to Overcome the Challenge

Adopting CX Innovation: How to Overcome the Challenge

Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

Integrate foundation models into your code with Amazon Bedrock

Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

GenASL: Generative AI-powered American Sign Language avatars

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

Create a generative AI-based application builder assistant using Amazon Bedrock Agents

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

10 Best Practices to Develop Your Digital Transformation Framework

WhatsApp Business for Teams: How To Get Started

Getting started with cross-region inference in Amazon Bedrock

Use AWS PrivateLink to set up private access to Amazon Bedrock

Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

Discover insights with the Amazon Q Business Microsoft Teams connector

How to Use WhatsApp for Customer Service

How healthcare payers and plans can empower members with generative AI

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

Develop generative AI applications to improve teaching and learning experiences

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

Empower your generative AI application with a comprehensive custom observability solution

Building Generative AI prompt chaining workflows with human in the loop

Your guide to generative AI and ML at AWS re:Invent 2024

Derive meaningful and actionable operational insights from AWS Using Amazon Q Business

Improve public speaking skills using a generative AI-based virtual assistant with Amazon Bedrock

Connect Amazon Q Business to Microsoft SharePoint Online using least privilege access controls

Stay Connected