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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

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. Additionally, you can add custom instructions and examples tailored to your specific workflows.

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5 Text Messaging Best Practices for Your SMS Strategy

aircall

With best practices for text messaging, your customer-facing teams will provide better service, while your sales and marketing teams can better interact with leads on a more personalized scale to more efficiently close deals. Why Use Text Messaging Best Practices. SMS Marketing: Text Messaging Marketing Best Practices.

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Business Messaging 101: Best Practices by Channel

Quiq

The pandemic accelerated messaging popularity in 2021. According to Zendesk’s 2021 CX Trends Report , in-app messaging popularity grew by 36%, SMS/text messaging by 75%, and social messaging by 110%. We’ve created a best practices guide to help you embark on your business messaging initiative. And customers love it.

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The 2021 Caller Authentication Guide for Contact Centers

pindrop

An example would be “Which of these addresses have you been associated with in the past?” Static knowledge-based authentication is the use of questions with presumably unique answers that should be specific to you – for example, “What is your favorite food?” Keep things simple with API integration whenever possible.

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Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 4: Training jobs

AWS Machine Learning

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. The names of these usage types are as follows: REGION-Train:instanceType (for example, USE1-Train:ml.m5.large Downloading phase In the preceding example, the Downloading phase took less than a minute.

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Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 3: Processing and Data Wrangler jobs

AWS Machine Learning

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. The names of these usage types are as follows: REGION-Processing:instanceType (for example, USE1-Processing:ml.m5.large Alternatively, you can use the list_processing_jobs API. You can choose from two methods to do this.

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Accelerate client success management through email classification with Hugging Face on Amazon SageMaker

AWS Machine Learning

In 2021, Scalable Capital experienced a tenfold increase of its client base, from tens of thousands to hundreds of thousands. MLOps – Because the SageMaker endpoint is private and can’t be reached by services outside of the VPC, an AWS Lambda function and Amazon API Gateway public endpoint are required to communicate with CRM.